{"cells":[{"cell_type":"code","execution_count":26,"metadata":{"collapsed":false,"id":"C5F6C094EBA342909DFB9A3A580FE62D","jupyter":{},"notebookId":"6334074633bf6e92aab2d287","scrolled":false,"slideshow":{"slide_type":"slide"},"tags":[],"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["0.9.8RC\n"]}],"source":["import matplotlib.pyplot as plt\n","%matplotlib inline\n","\n","import arviz as az\n","import hddm\n","print(hddm.__version__)"]},{"cell_type":"markdown","metadata":{"collapsed":false,"id":"93F23F0BD8814554BCD58502789C3472","jupyter":{},"notebookId":"6334074633bf6e92aab2d287","scrolled":false,"slideshow":{"slide_type":"slide"},"tags":[],"trusted":true},"source":["## 加载数据"]},{"cell_type":"code","execution_count":2,"metadata":{"collapsed":false,"id":"243D41466FED4B9AB83B32B3A83AF44E","jupyter":{},"notebookId":"6334074633bf6e92aab2d287","scrolled":false,"slideshow":{"slide_type":"slide"},"tags":[],"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>response</th>\n","      <th>rt</th>\n","      <th>difficulty</th>\n","      <th>subj_idx</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1.0</td>\n","      <td>1.929</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1.0</td>\n","      <td>1.709</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.0</td>\n","      <td>0.918</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1.0</td>\n","      <td>0.559</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1.0</td>\n","      <td>1.132</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>1.0</td>\n","      <td>0.815</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>1.0</td>\n","      <td>0.737</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>1.0</td>\n","      <td>0.794</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>1.0</td>\n","      <td>0.661</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>1.0</td>\n","      <td>0.733</td>\n","      <td>easy</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   response     rt difficulty  subj_idx\n","0       1.0  1.929       easy         0\n","1       1.0  1.709       easy         0\n","2       0.0  0.918       easy         0\n","3       1.0  0.559       easy         0\n","4       1.0  1.132       easy         0\n","5       1.0  0.815       easy         0\n","6       1.0  0.737       easy         0\n","7       1.0  0.794       easy         0\n","8       1.0  0.661       easy         0\n","9       1.0  0.733       easy         0"]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["data = hddm.load_csv('simple_subjs_difficulty.csv')\n","data.head(10)"]},{"cell_type":"markdown","metadata":{},"source":["## 模型设定"]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["No model attribute --> setting up standard HDDM\n","Set model to ddm\n"]}],"source":["m = hddm.HDDMRegressor(data, \"v~difficulty\",include=['v', 'a', 't', 'z'])\n","m = hddm.HDDM(\n","    data,\n","    depends_on={'v':'difficulty'}, \n","    include=['v', 'a', 't', 'z'])"]},{"cell_type":"markdown","metadata":{},"source":["## 模型拟合"]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["hddm sampling elpased time:  194.352 s\n"]}],"source":["infdata = m.sample(\n","    1000, burn=500,\n","    chains=4,\n","    save_name=\"test\",\n","    return_infdata = True\n","    )"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"data":{"text/html":["\n","            <div>\n","              <div class='xr-header'>\n","                <div class=\"xr-obj-type\">arviz.InferenceData</div>\n","          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auto;\n","}\n","\n",".xr-attrs dt,\n",".xr-attrs dd {\n","  padding: 0;\n","  margin: 0;\n","  float: left;\n","  padding-right: 10px;\n","  width: auto;\n","}\n","\n",".xr-attrs dt {\n","  font-weight: normal;\n","  grid-column: 1;\n","}\n","\n",".xr-attrs dt:hover span {\n","  display: inline-block;\n","  background: var(--xr-background-color);\n","  padding-right: 10px;\n","}\n","\n",".xr-attrs dd {\n","  grid-column: 2;\n","  white-space: pre-wrap;\n","  word-break: break-all;\n","}\n","\n",".xr-icon-database,\n",".xr-icon-file-text2,\n",".xr-no-icon {\n","  display: inline-block;\n","  vertical-align: middle;\n","  width: 1em;\n","  height: 1.5em !important;\n","  stroke-width: 0;\n","  stroke: currentColor;\n","  fill: currentColor;\n","}\n","</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n","Dimensions:          (chain: 4, draw: 500)\n","Coordinates:\n","  * chain            (chain) int32 0 1 2 3\n","  * draw             (draw) int32 0 1 2 3 4 5 6 ... 493 494 495 496 497 498 499\n","Data variables: (12/209)\n","    a                (chain, draw) float64 1.962 1.966 1.965 ... 1.944 1.983\n","    a_std            (chain, draw) float64 0.02326 0.02005 ... 0.1125 0.1119\n","    a_subj.0         (chain, draw) float64 1.946 1.945 1.959 ... 2.074 1.864\n","    a_subj.1         (chain, draw) float64 1.927 2.001 1.923 ... 1.869 1.98\n","    a_subj.2         (chain, draw) float64 1.984 1.964 1.959 ... 1.911 1.988\n","    a_subj.3         (chain, draw) float64 1.939 1.936 1.965 ... 1.846 1.855\n","    ...               ...\n","    z_subj.34        (chain, draw) float64 0.4931 0.4973 ... 0.4877 0.4872\n","    z_subj.35        (chain, draw) float64 0.4895 0.4923 0.4901 ... 0.4863 0.483\n","    z_subj.36        (chain, draw) float64 0.4907 0.4859 0.4869 ... 0.497 0.4879\n","    z_subj.37        (chain, draw) float64 0.4944 0.4869 0.5025 ... 0.4979 0.498\n","    z_subj.38        (chain, draw) float64 0.5023 0.4937 ... 0.5075 0.5024\n","    z_subj.39        (chain, draw) float64 0.5095 0.5013 ... 0.4913 0.4998</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1d242cb2-8ef6-4c9a-b712-4801c607b395' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d242cb2-8ef6-4c9a-b712-4801c607b395' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a6f23448-fe60-4683-aa37-873df3c5cbc4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6f23448-fe60-4683-aa37-873df3c5cbc4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-42959b45-86ee-4be9-a622-d766534f5c3a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42959b45-86ee-4be9-a622-d766534f5c3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a301c27d-9c24-41a2-9458-bf824dbe2979' class='xr-var-data-in' type='checkbox'><label for='data-a301c27d-9c24-41a2-9458-bf824dbe2979' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-9c00f8a1-e374-4f9d-aeaa-96ad42aa604d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c00f8a1-e374-4f9d-aeaa-96ad42aa604d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e83cd6b-d383-47fd-85ae-1a144a12dc8f' class='xr-var-data-in' type='checkbox'><label for='data-7e83cd6b-d383-47fd-85ae-1a144a12dc8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1995f893-51ce-4259-b218-b95891a7bfcc' class='xr-section-summary-in' type='checkbox'  ><label for='section-1995f893-51ce-4259-b218-b95891a7bfcc' class='xr-section-summary' >Data variables: <span>(209)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.962 1.966 1.965 ... 1.944 1.983</div><input id='attrs-4015c2f5-3dca-47f5-9d99-91d73fb58d88' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4015c2f5-3dca-47f5-9d99-91d73fb58d88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c77db26-96b7-4583-b2d3-7b4e6a5b0c48' class='xr-var-data-in' type='checkbox'><label for='data-5c77db26-96b7-4583-b2d3-7b4e6a5b0c48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96170736, 1.96571312, 1.96540594, ..., 1.95955496, 1.98219375,\n","        1.96185875],\n","       [1.97902562, 1.98114598, 1.99409445, ..., 1.95012647, 1.95177847,\n","        1.94830853],\n","       [1.95622351, 1.96202067, 1.96426406, ..., 1.95932159, 1.96517301,\n","        1.96898624],\n","       [1.97436277, 1.97469838, 1.97544636, ..., 1.94267513, 1.94381521,\n","        1.98301392]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02326 0.02005 ... 0.1125 0.1119</div><input id='attrs-a141e52d-82b9-4286-9d2b-8497ad780fb9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a141e52d-82b9-4286-9d2b-8497ad780fb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e66895b4-ff66-446b-adc1-31665765cbf5' class='xr-var-data-in' type='checkbox'><label for='data-e66895b4-ff66-446b-adc1-31665765cbf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.02326074, 0.02004604, 0.01595364, ..., 0.08709645, 0.09811356,\n","        0.08474259],\n","       [0.05900214, 0.06090907, 0.04775116, ..., 0.01533725, 0.015645  ,\n","        0.01499072],\n","       [0.01363   , 0.01139768, 0.01266138, ..., 0.02192313, 0.02007337,\n","        0.02278606],\n","       [0.01509462, 0.0134553 , 0.01199838, ..., 0.11027761, 0.11249094,\n","        0.11191395]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.946 1.945 1.959 ... 2.074 1.864</div><input id='attrs-3141bcf8-6499-4792-8216-f97f3e55b878' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3141bcf8-6499-4792-8216-f97f3e55b878' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ac07aa3-42f4-48e1-8885-b139c5462120' class='xr-var-data-in' type='checkbox'><label for='data-5ac07aa3-42f4-48e1-8885-b139c5462120' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.94611501, 1.94541283, 1.95903057, ..., 1.98325856, 1.92953033,\n","        2.10047944],\n","       [1.97439598, 1.96501354, 1.92594606, ..., 1.9434769 , 1.95571486,\n","        1.95407149],\n","       [1.94983981, 1.98114886, 1.97101341, ..., 1.95473633, 1.94690475,\n","        1.99207635],\n","       [1.96080262, 1.97164513, 1.97205392, ..., 2.06178642, 2.07404493,\n","        1.86420736]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.927 2.001 1.923 ... 1.869 1.98</div><input id='attrs-6be829c7-fde2-4cdc-9eed-684ed50e8331' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6be829c7-fde2-4cdc-9eed-684ed50e8331' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29c238b9-4169-43f7-acb7-79c0a0c07eaa' class='xr-var-data-in' type='checkbox'><label for='data-29c238b9-4169-43f7-acb7-79c0a0c07eaa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.92694748, 2.00058797, 1.92284165, ..., 2.01963016, 1.87655428,\n","        1.94340499],\n","       [2.00838353, 1.92167706, 1.89065289, ..., 1.92997413, 1.91855163,\n","        1.91148837],\n","       [1.97420447, 1.96859209, 1.98151643, ..., 1.95609095, 1.98178506,\n","        1.93345029],\n","       [1.98052817, 1.95495323, 2.01030737, ..., 1.84365268, 1.86880902,\n","        1.97962675]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.984 1.964 1.959 ... 1.911 1.988</div><input id='attrs-243ef891-b29f-458c-b268-b828ea7463da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-243ef891-b29f-458c-b268-b828ea7463da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0037915d-81e6-42f2-bb41-a0ac3cb4a8d6' class='xr-var-data-in' type='checkbox'><label for='data-0037915d-81e6-42f2-bb41-a0ac3cb4a8d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.98351161, 1.96366472, 1.9590329 , ..., 2.07040959, 1.93896614,\n","        1.98033944],\n","       [1.94566855, 1.98732699, 2.0127787 , ..., 1.95206384, 1.95753823,\n","        1.95414494],\n","       [1.94522419, 1.95391181, 1.97324358, ..., 1.9692816 , 1.96965218,\n","        1.96336125],\n","       [1.98352677, 1.98462442, 1.98065345, ..., 1.82164562, 1.91123811,\n","        1.98836251]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.939 1.936 1.965 ... 1.846 1.855</div><input id='attrs-3ab867ac-955a-45d7-ba7f-1ef9d3412b93' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ab867ac-955a-45d7-ba7f-1ef9d3412b93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77e67046-a137-4581-a776-f2eb4d06a0b0' class='xr-var-data-in' type='checkbox'><label for='data-77e67046-a137-4581-a776-f2eb4d06a0b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.93881222, 1.93578192, 1.96457958, ..., 1.88273659, 1.87412049,\n","        1.88171826],\n","       [2.05005963, 2.05465045, 2.04348025, ..., 1.9582404 , 1.96007554,\n","        1.93568422],\n","       [1.95151858, 1.96370063, 1.95968253, ..., 1.98734699, 1.96447533,\n","        1.95547069],\n","       [1.97378901, 1.97290188, 1.97987661, ..., 1.81332502, 1.84600239,\n","        1.85467734]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.975 1.981 1.974 ... 2.077 1.887</div><input id='attrs-ee7fe080-89f4-4f02-bfa0-f68f06ac5a34' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee7fe080-89f4-4f02-bfa0-f68f06ac5a34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8334817f-c098-4a98-8734-cddf0ff67600' class='xr-var-data-in' type='checkbox'><label for='data-8334817f-c098-4a98-8734-cddf0ff67600' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.97541258, 1.98098421, 1.97388069, ..., 1.95021844, 2.01693483,\n","        1.94042698],\n","       [2.03364217, 1.97939882, 1.94571606, ..., 1.95058414, 1.95743306,\n","        1.95191746],\n","       [1.97058554, 1.94452867, 1.9648335 , ..., 1.97406794, 1.94533088,\n","        1.99322969],\n","       [1.95514811, 1.99554789, 1.98069883, ..., 1.9142204 , 2.07676142,\n","        1.88744553]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.5</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.96 1.98 1.974 ... 2.076 2.102</div><input id='attrs-bd66a36e-0203-4816-b7b9-dfc4744256bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd66a36e-0203-4816-b7b9-dfc4744256bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcae2fbe-42ba-491b-9562-ff72eb64504b' class='xr-var-data-in' type='checkbox'><label for='data-dcae2fbe-42ba-491b-9562-ff72eb64504b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.95962915, 1.97997171, 1.9742486 , ..., 2.09426993, 2.05574465,\n","        1.99294752],\n","       [2.02646775, 1.96092102, 1.99767666, ..., 1.92314015, 1.94174862,\n","        1.9548547 ],\n","       [1.97938305, 1.97907724, 1.97464119, ..., 1.93974327, 1.95882499,\n","        1.95581171],\n","       [1.97898922, 1.99209287, 1.9920964 , ..., 1.96184576, 2.07557696,\n","        2.1022787 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.6</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.943 1.963 1.97 ... 1.792 1.889</div><input id='attrs-88ceba96-3efa-4645-ba66-cdb3e3c183ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88ceba96-3efa-4645-ba66-cdb3e3c183ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd897d78-812c-49d8-ad80-4c31ee1684a4' class='xr-var-data-in' type='checkbox'><label for='data-fd897d78-812c-49d8-ad80-4c31ee1684a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.94311526, 1.9625233 , 1.97025468, ..., 1.91033688, 1.9841226 ,\n","        1.93337245],\n","       [1.90788412, 2.03287492, 1.94489271, ..., 1.97345713, 1.97825047,\n","        1.97203733],\n","       [1.95634219, 1.96796379, 1.96159504, ..., 1.97423352, 1.97673802,\n","        1.97781172],\n","       [1.97841618, 1.97274279, 1.98340509, ..., 2.01901544, 1.79233948,\n","        1.88942572]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.7</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.964 1.97 1.983 ... 2.091 2.083</div><input id='attrs-b3aa7ff9-556d-4161-afc7-b5912dd11efc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3aa7ff9-556d-4161-afc7-b5912dd11efc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b74b8bb6-2bcf-4fe6-81a3-f8d4cb59403e' class='xr-var-data-in' type='checkbox'><label for='data-b74b8bb6-2bcf-4fe6-81a3-f8d4cb59403e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96415144, 1.97023801, 1.98309988, ..., 2.06392273, 2.09970009,\n","        1.87480809],\n","       [1.98236951, 1.99622318, 2.00451811, ..., 1.96029968, 1.939064  ,\n","        1.94094182],\n","       [1.9724093 , 1.96895577, 1.97754903, ..., 1.95145445, 1.98838526,\n","        1.95926379],\n","       [1.97747773, 1.96201041, 1.97124309, ..., 2.04095709, 2.09115828,\n","        2.08343997]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.8</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.978 1.963 1.968 ... 1.901 1.934</div><input id='attrs-ed9c765f-f141-4b85-a0e2-98a73d6b18b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed9c765f-f141-4b85-a0e2-98a73d6b18b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-437bd926-40c5-464b-a174-368755c7f444' class='xr-var-data-in' type='checkbox'><label for='data-437bd926-40c5-464b-a174-368755c7f444' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.97827331, 1.96251427, 1.96788427, ..., 1.90823569, 1.97219859,\n","        2.04942215],\n","       [1.9225201 , 1.98916341, 1.99661902, ..., 1.95871542, 1.96874443,\n","        1.9371433 ],\n","       [1.93009774, 1.95308926, 1.97116046, ..., 1.91602921, 1.94842307,\n","        1.95163221],\n","       [1.97574236, 1.97841147, 1.97189911, ..., 1.97175752, 1.90105429,\n","        1.93373409]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.9</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.965 1.96 1.943 ... 1.905 1.896</div><input id='attrs-3e66a821-9973-4c8c-8d4d-ef4064df0dae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e66a821-9973-4c8c-8d4d-ef4064df0dae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1153b77-d7fb-42b9-9b92-acbdd6167c23' class='xr-var-data-in' type='checkbox'><label for='data-c1153b77-d7fb-42b9-9b92-acbdd6167c23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96527582, 1.96041068, 1.94295963, ..., 1.88952165, 1.92716749,\n","        1.92047855],\n","       [2.02356995, 2.00198701, 1.95292476, ..., 1.96947057, 1.97475241,\n","        1.93946717],\n","       [1.9513749 , 1.95850142, 1.96655699, ..., 1.95667705, 1.97414423,\n","        1.97279966],\n","       [1.96379836, 1.97815193, 1.95172812, ..., 1.96404903, 1.90480958,\n","        1.89627436]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.10</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.954 1.972 1.945 ... 1.839 1.936</div><input id='attrs-e0a9d8b4-cc3d-4e03-97af-302f737af896' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0a9d8b4-cc3d-4e03-97af-302f737af896' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc4818b7-9c74-46a0-80b6-07f88c4a7d16' class='xr-var-data-in' type='checkbox'><label for='data-dc4818b7-9c74-46a0-80b6-07f88c4a7d16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.95379548, 1.97170884, 1.94460462, ..., 2.02315147, 1.99792375,\n","        2.00279112],\n","       [1.95981538, 2.00258894, 2.02391753, ..., 1.9513207 , 1.95192108,\n","        1.94874813],\n","       [1.94142072, 1.92592151, 1.95945669, ..., 1.96478713, 1.97371774,\n","        1.94715927],\n","       [1.95995298, 1.97927228, 1.9767189 , ..., 2.04485451, 1.83858833,\n","        1.93639268]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.11</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.987 1.994 1.941 ... 1.983 2.093</div><input id='attrs-ad457062-0eef-42bc-a216-ce884fe6f788' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad457062-0eef-42bc-a216-ce884fe6f788' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4516c96c-546d-45b2-bce4-8b11ef75929d' class='xr-var-data-in' type='checkbox'><label for='data-4516c96c-546d-45b2-bce4-8b11ef75929d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.98717234, 1.99358153, 1.94053495, ..., 2.0578489 , 2.19030932,\n","        1.9049881 ],\n","       [1.98850039, 1.99733876, 1.94290694, ..., 1.95824164, 1.94525174,\n","        1.96507567],\n","       [1.94736541, 1.95708833, 1.97874191, ..., 1.94441023, 1.90306678,\n","        1.97371871],\n","       [1.96979881, 1.97092192, 1.98305446, ..., 1.82177426, 1.98349363,\n","        2.09306105]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.12</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.967 1.945 1.976 ... 1.99 2.051</div><input id='attrs-341d5a3b-20b5-4526-aca5-0479002bd88d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-341d5a3b-20b5-4526-aca5-0479002bd88d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07ef5113-b95d-463d-a898-b1d86349ed86' class='xr-var-data-in' type='checkbox'><label for='data-07ef5113-b95d-463d-a898-b1d86349ed86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96749824, 1.94534165, 1.9759846 , ..., 1.9440032 , 1.9940265 ,\n","        1.9156622 ],\n","       [2.03286242, 1.91835069, 1.99817533, ..., 1.96081615, 1.9579944 ,\n","        1.96686268],\n","       [1.97311395, 1.96392627, 1.97587052, ..., 1.94800955, 1.98468912,\n","        1.96293588],\n","       [1.97847228, 1.9741132 , 1.98747162, ..., 1.99431891, 1.99045198,\n","        2.05089138]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.13</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.979 1.982 1.94 ... 1.984 1.904</div><input id='attrs-c4504d4c-7905-46b5-9373-fbd1a31020e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4504d4c-7905-46b5-9373-fbd1a31020e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4bcbb57-0bd1-4221-b82e-d2fab5a31d5f' class='xr-var-data-in' type='checkbox'><label for='data-c4bcbb57-0bd1-4221-b82e-d2fab5a31d5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.97922364, 1.98215105, 1.94003614, ..., 1.91166331, 1.90249185,\n","        2.00150592],\n","       [1.97508484, 1.95814818, 2.00695903, ..., 1.95580526, 1.96499152,\n","        1.94498824],\n","       [1.94818874, 1.97128807, 1.97556772, ..., 1.96011175, 1.93483472,\n","        2.02303577],\n","       [1.9861818 , 1.98456294, 1.95977759, ..., 1.95656077, 1.98421851,\n","        1.90366269]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.14</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.978 1.96 1.987 ... 1.794 2.124</div><input id='attrs-100c3497-1d2a-4165-b668-a0f3ab56e8be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-100c3497-1d2a-4165-b668-a0f3ab56e8be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e5f279d-17a4-475c-8921-68fecb775c6a' class='xr-var-data-in' type='checkbox'><label for='data-4e5f279d-17a4-475c-8921-68fecb775c6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.97796658, 1.96010745, 1.98678559, ..., 1.87367143, 1.84549817,\n","        1.97452171],\n","       [2.07635983, 2.11326351, 1.9541225 , ..., 1.93983011, 1.94624271,\n","        1.95358371],\n","       [1.95817732, 1.94671558, 1.9709089 , ..., 1.90016875, 2.0009542 ,\n","        2.01186108],\n","       [1.94309493, 2.00139308, 1.99837037, ..., 1.77711779, 1.79407   ,\n","        2.12416367]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.15</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.987 1.963 1.966 ... 1.934 1.742</div><input id='attrs-c1ea2913-38ff-4498-b2eb-0dcf922c3309' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1ea2913-38ff-4498-b2eb-0dcf922c3309' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d3bc0c5-f9a4-441e-9502-fa2da54b2a5e' class='xr-var-data-in' type='checkbox'><label for='data-9d3bc0c5-f9a4-441e-9502-fa2da54b2a5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.9874221 , 1.96302996, 1.96594613, ..., 1.86418049, 1.97117407,\n","        1.89517702],\n","       [1.97643509, 1.91142854, 2.05772594, ..., 1.95794677, 1.94260453,\n","        1.9459632 ],\n","       [1.97518558, 1.96197299, 1.97300454, ..., 1.9576408 , 1.93804269,\n","        1.95332568],\n","       [1.96345354, 1.97454301, 1.98287664, ..., 1.88950705, 1.93441415,\n","        1.74172263]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.16</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.938 1.968 1.973 ... 2.137 2.021</div><input id='attrs-84358a06-9e3b-4e5f-8feb-2ef8238e065a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84358a06-9e3b-4e5f-8feb-2ef8238e065a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b9f4b23-1ca3-44fe-b3dc-f51ac6a74ceb' class='xr-var-data-in' type='checkbox'><label for='data-1b9f4b23-1ca3-44fe-b3dc-f51ac6a74ceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.93834004, 1.96840384, 1.97342052, ..., 1.90173544, 2.02070436,\n","        1.90450661],\n","       [1.92761266, 2.00370381, 2.00929347, ..., 1.94164128, 1.95084797,\n","        1.95682995],\n","       [1.94724245, 1.97104387, 1.96083487, ..., 1.98990496, 1.94996684,\n","        2.01001737],\n","       [2.00045572, 1.98406156, 1.96783661, ..., 2.15731102, 2.13694794,\n","        2.02092684]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.17</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.013 1.998 1.968 ... 1.922 2.002</div><input id='attrs-8ac90fab-baac-4971-b8d6-1bfe8baed8e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ac90fab-baac-4971-b8d6-1bfe8baed8e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-925d4cc9-2df2-4385-92ce-95c4c07e276b' class='xr-var-data-in' type='checkbox'><label for='data-925d4cc9-2df2-4385-92ce-95c4c07e276b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.01275534, 1.99782109, 1.96848802, ..., 1.85015054, 1.92001349,\n","        1.96735832],\n","       [2.02050938, 2.01646298, 1.95836218, ..., 1.93518815, 1.96947467,\n","        1.94891963],\n","       [1.96434627, 1.9662009 , 1.95986287, ..., 1.97022465, 1.92914981,\n","        1.93083379],\n","       [1.94139622, 1.96135799, 1.97313968, ..., 1.87874651, 1.92210595,\n","        2.00180165]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.18</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.989 1.953 1.963 ... 2.051 2.191</div><input id='attrs-5689f0d0-ec32-404b-85f8-a9471c56da30' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5689f0d0-ec32-404b-85f8-a9471c56da30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d399df0-044d-447f-981b-1f8d1149a420' class='xr-var-data-in' type='checkbox'><label for='data-4d399df0-044d-447f-981b-1f8d1149a420' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.98898103, 1.95298705, 1.96252408, ..., 1.791129  , 1.9056854 ,\n","        2.01241521],\n","       [1.93812652, 2.01581055, 1.96497004, ..., 1.94524557, 1.95488836,\n","        1.95478849],\n","       [1.95728921, 1.93124433, 1.98703258, ..., 2.00245226, 1.95103452,\n","        1.97209411],\n","       [1.95075688, 1.9898495 , 1.98035937, ..., 2.0656274 , 2.05091034,\n","        2.19108319]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.19</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.976 1.98 1.951 ... 2.095 2.012</div><input id='attrs-d7c011e3-aabf-419a-90ea-f656720e16bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7c011e3-aabf-419a-90ea-f656720e16bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94d8788d-2711-4a0d-8162-a173cd944fba' class='xr-var-data-in' type='checkbox'><label for='data-94d8788d-2711-4a0d-8162-a173cd944fba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.97629549, 1.98003349, 1.95064327, ..., 1.9534678 , 1.97308656,\n","        1.91233892],\n","       [1.94099016, 1.97658315, 2.06852539, ..., 1.96261626, 1.96986007,\n","        1.92000828],\n","       [1.93795297, 1.9507917 , 1.966626  , ..., 1.9545011 , 1.96867913,\n","        1.95970024],\n","       [1.98018167, 1.96571793, 1.9876658 , ..., 2.01439972, 2.09451417,\n","        2.01215938]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.20</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.954 1.993 1.957 ... 2.234 2.01</div><input id='attrs-395c242f-4693-4fe5-a5a0-7696ec27d042' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-395c242f-4693-4fe5-a5a0-7696ec27d042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21134603-b4cf-45c1-bcdf-7b2d2d27b4ef' class='xr-var-data-in' type='checkbox'><label for='data-21134603-b4cf-45c1-bcdf-7b2d2d27b4ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.95413028, 1.99293554, 1.95705659, ..., 2.08773943, 2.02687583,\n","        2.15054459],\n","       [2.03073713, 2.02342998, 2.08765704, ..., 1.93182911, 1.96162502,\n","        1.95497662],\n","       [1.98990621, 1.93718028, 1.94568065, ..., 1.99741075, 1.99897491,\n","        1.96914586],\n","       [1.98068437, 1.97970328, 1.97433434, ..., 2.38862608, 2.23355848,\n","        2.01008917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.21</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.943 1.945 1.944 ... 1.97 1.87</div><input id='attrs-aec7f3b1-8a15-4aab-9b8a-bf8e7aa4312e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aec7f3b1-8a15-4aab-9b8a-bf8e7aa4312e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc732d97-b5fe-498c-8ad8-81ba61c47f18' class='xr-var-data-in' type='checkbox'><label for='data-cc732d97-b5fe-498c-8ad8-81ba61c47f18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.94291161, 1.94537834, 1.94424933, ..., 1.96130367, 1.88403409,\n","        1.9671126 ],\n","       [2.0740772 , 1.86698882, 1.87736703, ..., 1.95871647, 1.98246936,\n","        1.95199605],\n","       [1.95804494, 1.96697877, 1.96650326, ..., 1.95350753, 1.9694236 ,\n","        1.99545724],\n","       [1.99229253, 1.94874902, 1.95740477, ..., 1.8686037 , 1.97031946,\n","        1.87012718]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.22</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.911 1.982 1.983 ... 1.957 2.038</div><input id='attrs-1254bf26-9498-4070-b584-2f816e3a7d5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1254bf26-9498-4070-b584-2f816e3a7d5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-022ed781-31d0-4fe9-b2ea-3b0d1728cde4' class='xr-var-data-in' type='checkbox'><label for='data-022ed781-31d0-4fe9-b2ea-3b0d1728cde4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.91137778, 1.9824557 , 1.98259123, ..., 1.88163475, 2.00483859,\n","        1.95724157],\n","       [1.93523517, 2.07020148, 1.96064769, ..., 1.93897467, 1.94316847,\n","        1.94450595],\n","       [1.93747551, 1.96390575, 1.94327526, ..., 2.002415  , 1.9524371 ,\n","        1.97422676],\n","       [1.97770853, 1.97148541, 1.96775568, ..., 1.89826511, 1.95708405,\n","        2.0377552 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.23</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.964 1.988 1.965 ... 1.931 2.002</div><input id='attrs-6d25811a-53ed-41e6-8648-ce4afca375e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d25811a-53ed-41e6-8648-ce4afca375e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c9cfed9-3c3e-4c29-9d0c-5e0dea3f93c4' class='xr-var-data-in' type='checkbox'><label for='data-8c9cfed9-3c3e-4c29-9d0c-5e0dea3f93c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96423506, 1.9883769 , 1.96503831, ..., 1.93504758, 2.01241152,\n","        1.94264745],\n","       [2.03817988, 1.93592781, 2.08040901, ..., 1.95217932, 1.94449471,\n","        1.9528366 ],\n","       [1.95516971, 1.9765579 , 1.97402602, ..., 1.98571009, 1.9547965 ,\n","        1.99165794],\n","       [1.95400717, 1.98659691, 1.9833116 , ..., 1.91255314, 1.93085399,\n","        2.00163526]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.24</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.969 1.955 1.933 ... 1.932 1.962</div><input id='attrs-08ee15a3-b392-4486-a9e2-1f58fefad114' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08ee15a3-b392-4486-a9e2-1f58fefad114' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b290e649-9ec4-4953-bc85-ab7e30b142f9' class='xr-var-data-in' type='checkbox'><label for='data-b290e649-9ec4-4953-bc85-ab7e30b142f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96940534, 1.95455592, 1.93319953, ..., 1.92925325, 2.05298689,\n","        1.83590117],\n","       [1.96071429, 2.00609577, 1.93805701, ..., 1.96325971, 1.94536389,\n","        1.96202055],\n","       [1.94920133, 1.955243  , 1.939427  , ..., 1.95071076, 1.99046685,\n","        1.94522199],\n","       [1.99266691, 1.9796122 , 1.97429252, ..., 1.93186033, 1.93199429,\n","        1.96183542]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.25</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.015 2.004 1.946 ... 2.098 1.885</div><input id='attrs-5b1210da-50de-443f-b502-1cc36c0f6f21' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b1210da-50de-443f-b502-1cc36c0f6f21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b59cb12-74fd-4baa-bf3c-cccee5e51735' class='xr-var-data-in' type='checkbox'><label for='data-7b59cb12-74fd-4baa-bf3c-cccee5e51735' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.01523638, 2.00429549, 1.94594579, ..., 1.94511957, 1.94510025,\n","        2.04503425],\n","       [2.01639124, 1.95835742, 1.98596376, ..., 1.97356952, 1.9733357 ,\n","        1.93093607],\n","       [1.95996777, 1.95533332, 1.96952357, ..., 1.97299715, 1.96920242,\n","        1.96611533],\n","       [1.98157669, 1.95103909, 1.9769452 , ..., 2.23471727, 2.09753888,\n","        1.88461921]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.26</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.936 1.97 1.974 ... 2.026 2.122</div><input id='attrs-6077a56d-8324-45b3-b5e5-3f7d26cfa3c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6077a56d-8324-45b3-b5e5-3f7d26cfa3c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11d513c8-f004-4d94-9912-c7222aa360e4' class='xr-var-data-in' type='checkbox'><label for='data-11d513c8-f004-4d94-9912-c7222aa360e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.93607629, 1.97025779, 1.97421656, ..., 1.99164333, 1.96669783,\n","        1.99678438],\n","       [2.01724797, 2.00686239, 2.02659036, ..., 1.94538587, 1.95530354,\n","        1.94376515],\n","       [1.95964757, 1.94920486, 1.95623155, ..., 1.97227684, 1.96779545,\n","        1.96078332],\n","       [1.9850729 , 1.99935718, 1.98127585, ..., 1.86193084, 2.02601457,\n","        2.12217823]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.27</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.929 2.01 1.953 ... 1.96 1.849</div><input id='attrs-befb16a2-9e38-4fa0-9e32-f7f9c727a366' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-befb16a2-9e38-4fa0-9e32-f7f9c727a366' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a3dfcd5-80a5-4889-b5a1-3c695cb3efb0' class='xr-var-data-in' type='checkbox'><label for='data-2a3dfcd5-80a5-4889-b5a1-3c695cb3efb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.92876516, 2.01000066, 1.9532704 , ..., 1.81678078, 1.95298817,\n","        1.95303529],\n","       [2.05310724, 1.93199549, 1.95834755, ..., 1.94699874, 1.9733547 ,\n","        1.95991432],\n","       [1.94718532, 1.97019995, 1.96309352, ..., 1.96443939, 1.98009435,\n","        1.97556914],\n","       [1.97334663, 1.97853461, 2.00934099, ..., 1.95367545, 1.95989167,\n","        1.84853288]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.28</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.974 1.934 1.984 ... 1.917 1.98</div><input id='attrs-1102e655-6b21-418c-b2f3-623e7bdec54e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1102e655-6b21-418c-b2f3-623e7bdec54e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45d29372-1b91-481d-a090-5ee9d7aeafbf' class='xr-var-data-in' type='checkbox'><label for='data-45d29372-1b91-481d-a090-5ee9d7aeafbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.97398044, 1.93370315, 1.98438351, ..., 1.94474406, 1.87885374,\n","        1.99227278],\n","       [2.03166344, 2.05665365, 1.97201364, ..., 1.94246169, 1.96198247,\n","        1.96573366],\n","       [1.9554983 , 1.96023592, 1.96389839, ..., 1.92870049, 1.99271995,\n","        1.94440588],\n","       [1.98438228, 1.97396212, 1.98457227, ..., 1.94850865, 1.91661485,\n","        1.97980568]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.29</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.949 1.961 1.946 ... 1.906 1.851</div><input id='attrs-2d2400be-74de-470f-a5b4-c28356388aaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d2400be-74de-470f-a5b4-c28356388aaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9d25eac-9796-4969-9eff-945ce8333569' class='xr-var-data-in' type='checkbox'><label for='data-b9d25eac-9796-4969-9eff-945ce8333569' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.94908922, 1.96098229, 1.94609158, ..., 1.80135401, 1.96327999,\n","        1.8191897 ],\n","       [1.99439014, 1.93725025, 2.03048511, ..., 1.96280116, 1.93736461,\n","        1.97003007],\n","       [1.94971231, 1.96530516, 1.96333196, ..., 1.98644594, 1.9412316 ,\n","        1.94379112],\n","       [1.96606138, 1.95669932, 1.96112114, ..., 2.01147481, 1.90627958,\n","        1.8512787 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.30</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.965 1.96 1.965 ... 2.047 1.992</div><input id='attrs-1e8bc416-a492-4378-a63c-704eb44d8520' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e8bc416-a492-4378-a63c-704eb44d8520' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95f1ca0e-1f23-4f76-b175-31d04507984b' class='xr-var-data-in' type='checkbox'><label for='data-95f1ca0e-1f23-4f76-b175-31d04507984b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96478777, 1.96044953, 1.96476165, ..., 1.86686302, 1.88458709,\n","        2.19521458],\n","       [1.92876819, 1.95597023, 2.05163784, ..., 1.95857764, 1.95970015,\n","        1.91739003],\n","       [1.95279331, 1.97572209, 1.97620167, ..., 1.94800134, 1.96342473,\n","        1.99209303],\n","       [1.97075105, 1.94728777, 1.99221745, ..., 1.96088462, 2.046715  ,\n","        1.99158288]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.31</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.952 1.953 1.963 ... 1.893 1.819</div><input id='attrs-fd72aba1-abed-4524-b0d2-efcc2a498d46' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd72aba1-abed-4524-b0d2-efcc2a498d46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4de5c269-e83c-4cf3-b055-bed849b64988' class='xr-var-data-in' type='checkbox'><label for='data-4de5c269-e83c-4cf3-b055-bed849b64988' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.95171683, 1.9533996 , 1.9633522 , ..., 1.91680435, 2.12530648,\n","        1.85269038],\n","       [1.98094418, 1.96019077, 1.94477692, ..., 1.94436188, 1.96635581,\n","        1.92965181],\n","       [1.9356202 , 1.96889274, 1.96606236, ..., 1.9196511 , 1.99910519,\n","        1.95555271],\n","       [1.97615951, 1.95265386, 1.96180788, ..., 1.85520933, 1.89253341,\n","        1.81857092]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.32</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.939 1.975 2.006 ... 1.846 1.925</div><input id='attrs-2b506aba-fa80-4c08-823b-76e87ff532d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b506aba-fa80-4c08-823b-76e87ff532d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1663fdde-532a-44ba-91f2-46bb413fb7b8' class='xr-var-data-in' type='checkbox'><label for='data-1663fdde-532a-44ba-91f2-46bb413fb7b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.93878063, 1.97507396, 2.00585448, ..., 1.96791766, 1.9445608 ,\n","        2.08413382],\n","       [1.84494281, 2.02596816, 1.9426365 , ..., 1.96968737, 1.95952741,\n","        1.96332381],\n","       [1.95250411, 1.96309188, 1.94965664, ..., 1.95953811, 1.93380331,\n","        1.95705292],\n","       [1.96680331, 1.9450279 , 1.96678861, ..., 1.89789775, 1.84553052,\n","        1.92503114]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.33</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.97 1.951 1.975 ... 2.023 1.941</div><input id='attrs-407cba3c-3532-4120-af12-b755462e65ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-407cba3c-3532-4120-af12-b755462e65ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac7db4e-a6e7-4423-b37e-d0257bf4ed0e' class='xr-var-data-in' type='checkbox'><label for='data-9ac7db4e-a6e7-4423-b37e-d0257bf4ed0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96992842, 1.95098781, 1.97508632, ..., 2.05672776, 2.10649987,\n","        2.04900866],\n","       [2.03475952, 1.88506729, 1.9162066 , ..., 1.95165503, 1.92691554,\n","        1.94918851],\n","       [1.95055942, 1.96731487, 1.97067741, ..., 1.99114021, 1.96599963,\n","        1.94887187],\n","       [1.97615443, 1.97705975, 1.96488088, ..., 1.99730922, 2.02276428,\n","        1.94069867]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.34</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.932 1.918 2.032 ... 1.95 1.8</div><input id='attrs-d29031ee-9223-4587-a10d-d2aacd8adbe9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d29031ee-9223-4587-a10d-d2aacd8adbe9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1ce9769-1c73-4214-89da-ae49f7b54623' class='xr-var-data-in' type='checkbox'><label for='data-f1ce9769-1c73-4214-89da-ae49f7b54623' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.93183185, 1.91762732, 2.03183512, ..., 1.98756935, 1.97872151,\n","        1.92490131],\n","       [1.97913184, 2.01766286, 1.9830589 , ..., 1.93146076, 1.94655389,\n","        1.97307024],\n","       [1.97606918, 1.95589362, 1.96606744, ..., 1.99015387, 1.94343857,\n","        1.99893043],\n","       [1.9754233 , 1.98235245, 1.97199429, ..., 1.96692237, 1.94956737,\n","        1.8001257 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.35</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.945 1.965 1.985 ... 2.015 1.764</div><input id='attrs-ae3f69f8-9800-4d25-8053-0e9158c59b78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae3f69f8-9800-4d25-8053-0e9158c59b78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5ff741a-a522-4045-8528-47e690b51472' class='xr-var-data-in' type='checkbox'><label for='data-f5ff741a-a522-4045-8528-47e690b51472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.94499311, 1.96497464, 1.98543066, ..., 1.98594777, 1.98257185,\n","        1.89270157],\n","       [1.88188793, 2.04636603, 2.01454036, ..., 1.95791608, 1.95292848,\n","        1.9528674 ],\n","       [1.95377112, 1.95778129, 1.95137976, ..., 2.00744657, 1.94477637,\n","        1.97486002],\n","       [1.95483043, 2.0094928 , 1.94234387, ..., 1.99898588, 2.0148043 ,\n","        1.76425001]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.36</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.964 1.968 1.969 ... 1.895 1.731</div><input id='attrs-9dbe6a12-26b4-4ce0-86c5-2456ef826595' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9dbe6a12-26b4-4ce0-86c5-2456ef826595' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ff8cb9f-95ab-43e5-ad1e-67279f5fbfac' class='xr-var-data-in' type='checkbox'><label for='data-4ff8cb9f-95ab-43e5-ad1e-67279f5fbfac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.96413261, 1.96833312, 1.96931959, ..., 1.94109552, 1.83980772,\n","        1.96948961],\n","       [1.89929823, 2.05179042, 2.03045669, ..., 1.94955325, 1.94012805,\n","        1.96104088],\n","       [1.96353636, 1.97122183, 1.95712132, ..., 1.96571298, 1.97749917,\n","        2.00537802],\n","       [1.95866039, 1.95773174, 1.98571203, ..., 1.93611486, 1.89453152,\n","        1.73123057]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.37</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.967 1.929 1.953 ... 2.024 1.934</div><input id='attrs-daed1802-9dc9-4cae-8ec3-51243ca41472' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-daed1802-9dc9-4cae-8ec3-51243ca41472' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c759e99-1af2-42e5-b131-ebf8303126b6' class='xr-var-data-in' type='checkbox'><label for='data-6c759e99-1af2-42e5-b131-ebf8303126b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.9667665 , 1.92889508, 1.95306406, ..., 1.97229139, 1.83645788,\n","        1.97416266],\n","       [1.87615693, 1.88397232, 1.86781845, ..., 1.97984006, 1.97125432,\n","        1.93759592],\n","       [1.94727091, 1.95457309, 1.99543774, ..., 1.97196054, 1.94676065,\n","        1.97904887],\n","       [1.97873539, 1.96664501, 1.98854611, ..., 2.08695308, 2.02394209,\n","        1.93449977]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.38</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.972 1.959 1.959 ... 1.978 1.812</div><input id='attrs-347e3d64-46b6-47ce-a39c-317cefcf82e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-347e3d64-46b6-47ce-a39c-317cefcf82e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-055d7a65-a23b-4a47-8b02-b95acfe0d472' class='xr-var-data-in' type='checkbox'><label for='data-055d7a65-a23b-4a47-8b02-b95acfe0d472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.97193127, 1.95895588, 1.95919808, ..., 1.85848812, 2.07646976,\n","        2.03614646],\n","       [1.903742  , 1.9004789 , 2.01455889, ..., 1.95358175, 1.92391004,\n","        1.93265525],\n","       [1.94794121, 1.95641888, 1.95097485, ..., 1.95814635, 1.94782334,\n","        1.98233916],\n","       [1.97795327, 1.9692356 , 1.98360033, ..., 1.80504927, 1.97845495,\n","        1.81206273]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.39</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.978 1.977 1.978 ... 1.851 1.964</div><input id='attrs-218e2344-9c60-40be-a5df-d57e6ae67e68' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-218e2344-9c60-40be-a5df-d57e6ae67e68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd5fb9d8-9510-4c8c-a119-66de3ee075e1' class='xr-var-data-in' type='checkbox'><label for='data-cd5fb9d8-9510-4c8c-a119-66de3ee075e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.97834249, 1.97659299, 1.97752369, ..., 1.89255683, 1.87326407,\n","        1.93537128],\n","       [1.92144432, 1.96682486, 2.0186685 , ..., 1.95450588, 1.94812523,\n","        1.95713794],\n","       [1.95917677, 1.94923169, 1.9790658 , ..., 1.92151552, 1.99531178,\n","        1.9349781 ],\n","       [1.95430388, 1.96108771, 1.99582543, ..., 1.84295435, 1.85107471,\n","        1.96355591]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v(easy)</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5275 0.5318 ... 0.4707 0.4454</div><input id='attrs-bf031b2e-e703-4766-914c-a517fa594b79' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf031b2e-e703-4766-914c-a517fa594b79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83b29c23-ff1f-45f0-9363-3af97cf74b85' class='xr-var-data-in' type='checkbox'><label for='data-83b29c23-ff1f-45f0-9363-3af97cf74b85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.52746876, 0.53184402, 0.5311328 , ..., 0.43123269, 0.42782396,\n","        0.42168815],\n","       [0.45982379, 0.47516826, 0.48194211, ..., 0.35317738, 0.35556929,\n","        0.36063902],\n","       [0.43487516, 0.43894221, 0.44079552, ..., 0.58477467, 0.60111374,\n","        0.60398918],\n","       [0.53449517, 0.58194126, 0.60642159, ..., 0.46904195, 0.47067991,\n","        0.44540789]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v(hard)</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9779 0.9779 ... 1.056 1.051</div><input id='attrs-cad105e9-9cd2-4702-96e0-d05df95da521' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cad105e9-9cd2-4702-96e0-d05df95da521' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53244329-8fb3-474d-ac3f-848e55937605' class='xr-var-data-in' type='checkbox'><label for='data-53244329-8fb3-474d-ac3f-848e55937605' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97789092, 0.97789824, 0.97833364, ..., 0.96898517, 0.97015132,\n","        0.9652709 ],\n","       [1.01825791, 1.01884393, 1.01442637, ..., 1.01820064, 1.01176836,\n","        1.01094027],\n","       [1.09776572, 1.09690729, 1.09857297, ..., 1.0759472 , 1.10657857,\n","        1.10498106],\n","       [1.07930688, 1.08653021, 1.09533948, ..., 1.09020701, 1.05587881,\n","        1.0514081 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01444 0.011 ... 0.1489 0.1729</div><input id='attrs-3f5f7266-08ab-4dab-b487-2541f660f547' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f5f7266-08ab-4dab-b487-2541f660f547' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a364fa8-159c-4f7e-ab35-d791c34e8757' class='xr-var-data-in' type='checkbox'><label for='data-7a364fa8-159c-4f7e-ab35-d791c34e8757' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.01443722, 0.01099681, 0.01160139, ..., 0.02763616, 0.02947368,\n","        0.02703618],\n","       [0.06427294, 0.06437874, 0.06958938, ..., 0.02024514, 0.01725407,\n","        0.01441628],\n","       [0.02779848, 0.02902429, 0.02892499, ..., 0.06842648, 0.07141862,\n","        0.07924798],\n","       [0.09462261, 0.10858488, 0.1232444 , ..., 0.1720562 , 0.14892519,\n","        0.1728976 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5442 0.5468 ... 0.5103 0.3417</div><input id='attrs-4be5429b-00ea-4c3b-962a-8000d34548dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4be5429b-00ea-4c3b-962a-8000d34548dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53b1ae96-e651-44f6-aec1-be177592c2ae' class='xr-var-data-in' type='checkbox'><label for='data-53b1ae96-e651-44f6-aec1-be177592c2ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.54421033, 0.5468406 , 0.52631283, ..., 0.45480056, 0.41278397,\n","        0.42464158],\n","       [0.51602862, 0.50870982, 0.54515015, ..., 0.37168561, 0.34052447,\n","        0.34627564],\n","       [0.46867228, 0.4047867 , 0.48687927, ..., 0.49513736, 0.72282679,\n","        0.62091398],\n","       [0.68324179, 0.50872158, 0.61015297, ..., 0.49609119, 0.51028233,\n","        0.34165511]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5283 0.5518 ... 0.6906 0.3268</div><input id='attrs-ed81114c-9532-45ac-b668-02433bafd307' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed81114c-9532-45ac-b668-02433bafd307' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03397461-cc99-4956-8d68-d97c67cc16c0' class='xr-var-data-in' type='checkbox'><label for='data-03397461-cc99-4956-8d68-d97c67cc16c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.52831964, 0.55181584, 0.53653654, ..., 0.40187713, 0.38095155,\n","        0.44006365],\n","       [0.42006345, 0.4068141 , 0.64381945, ..., 0.35724642, 0.36847595,\n","        0.36482155],\n","       [0.49055987, 0.44085369, 0.44377579, ..., 0.56854358, 0.57773615,\n","        0.49200758],\n","       [0.49570567, 0.69853296, 0.60269277, ..., 0.54336179, 0.69058523,\n","        0.32684466]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5319 0.5396 ... 0.5606 0.454</div><input id='attrs-ce2554ca-18f0-4554-87db-d85bffb9ca74' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce2554ca-18f0-4554-87db-d85bffb9ca74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f792fae-f3ca-48b9-9cbd-8b79a6d9a33a' class='xr-var-data-in' type='checkbox'><label for='data-6f792fae-f3ca-48b9-9cbd-8b79a6d9a33a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.53186146, 0.53956155, 0.53540298, ..., 0.42242588, 0.42656671,\n","        0.4094965 ],\n","       [0.53451408, 0.40100289, 0.58205253, ..., 0.36245698, 0.3666994 ,\n","        0.34973311],\n","       [0.444982  , 0.45617751, 0.44683116, ..., 0.76789178, 0.67403841,\n","        0.49388541],\n","       [0.51606083, 0.56709505, 0.58016314, ..., 0.51858759, 0.56057487,\n","        0.45401257]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5387 0.5339 ... 0.4477 0.3713</div><input id='attrs-ab20ccba-57e6-4ced-bf0b-07da715dc208' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab20ccba-57e6-4ced-bf0b-07da715dc208' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-467bde13-d04e-4594-8cf0-5ff7bf7715f6' class='xr-var-data-in' type='checkbox'><label for='data-467bde13-d04e-4594-8cf0-5ff7bf7715f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.53870502, 0.53389336, 0.54839084, ..., 0.45989224, 0.46501464,\n","        0.34959597],\n","       [0.49151546, 0.42095394, 0.48366247, ..., 0.34653558, 0.34050441,\n","        0.34760942],\n","       [0.403179  , 0.44840439, 0.43880122, ..., 0.53675537, 0.57720859,\n","        0.61096628],\n","       [0.73276907, 0.67673969, 0.47725134, ..., 0.45265951, 0.44767689,\n","        0.37133902]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5177 0.5219 ... 0.3336 0.39</div><input id='attrs-3889677b-9663-42ab-ab6b-f04e221aa621' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3889677b-9663-42ab-ab6b-f04e221aa621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1415fbe-33b2-4619-9245-7d511f678e6d' class='xr-var-data-in' type='checkbox'><label for='data-c1415fbe-33b2-4619-9245-7d511f678e6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.51772125, 0.52186062, 0.55070186, ..., 0.41793693, 0.41335946,\n","        0.41033526],\n","       [0.46987682, 0.32493501, 0.63659653, ..., 0.36388281, 0.35358886,\n","        0.34110773],\n","       [0.4136411 , 0.48067238, 0.48109001, ..., 0.60212601, 0.60964836,\n","        0.61716544],\n","       [0.53759509, 0.52867533, 0.70849827, ..., 0.53886333, 0.33359888,\n","        0.38997647]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).5</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5177 0.5314 ... 0.5856 0.3036</div><input id='attrs-59374340-ae70-47e0-bda2-d5aef733cd5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59374340-ae70-47e0-bda2-d5aef733cd5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-073dad7d-b52b-48f2-9d66-49ac766a1c55' class='xr-var-data-in' type='checkbox'><label for='data-073dad7d-b52b-48f2-9d66-49ac766a1c55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.51769189, 0.53144216, 0.52900444, ..., 0.42970343, 0.42029017,\n","        0.3893951 ],\n","       [0.5254851 , 0.53436502, 0.49323077, ..., 0.34469248, 0.37017486,\n","        0.37466284],\n","       [0.4504334 , 0.44426082, 0.44051239, ..., 0.63763074, 0.66069659,\n","        0.54819146],\n","       [0.56855893, 0.52560262, 0.73540808, ..., 0.30847621, 0.58555825,\n","        0.30356296]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).6</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5258 0.5219 ... 0.3534 0.3579</div><input id='attrs-6d8a2771-b535-4c30-a0c9-d9a8e8883cce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d8a2771-b535-4c30-a0c9-d9a8e8883cce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5707798-36cb-466b-b41f-80fc5340eaf0' class='xr-var-data-in' type='checkbox'><label for='data-d5707798-36cb-466b-b41f-80fc5340eaf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.52579239, 0.52189097, 0.52739332, ..., 0.39012822, 0.37207743,\n","        0.38845032],\n","       [0.33783434, 0.34101828, 0.43252774, ..., 0.354084  , 0.34434465,\n","        0.36146952],\n","       [0.42361123, 0.41238158, 0.47727452, ..., 0.63958759, 0.52748409,\n","        0.60288135],\n","       [0.51661293, 0.60032975, 0.43046957, ..., 0.53824682, 0.35336633,\n","        0.35794427]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).7</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.508 0.5257 ... 0.3746 0.648</div><input id='attrs-30601749-6d3f-4d86-b3d9-57893ae06e2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30601749-6d3f-4d86-b3d9-57893ae06e2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae1459d8-e795-4f0c-8393-103795324b3f' class='xr-var-data-in' type='checkbox'><label for='data-ae1459d8-e795-4f0c-8393-103795324b3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50801688, 0.52573796, 0.56815855, ..., 0.39965352, 0.39920018,\n","        0.47954886],\n","       [0.45982784, 0.46900213, 0.47187031, ..., 0.36554472, 0.33874046,\n","        0.39590288],\n","       [0.46697201, 0.44062306, 0.41853933, ..., 0.65598793, 0.51438551,\n","        0.54455365],\n","       [0.56967706, 0.57233469, 0.61635263, ..., 0.82579626, 0.37457944,\n","        0.64798325]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).8</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5222 0.5185 ... 0.5733 0.5301</div><input id='attrs-fb9cfd10-8d29-4966-b4bd-abcc65447fb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb9cfd10-8d29-4966-b4bd-abcc65447fb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59bdf6b8-92c3-4790-b0e5-f34d1ed017a8' class='xr-var-data-in' type='checkbox'><label for='data-59bdf6b8-92c3-4790-b0e5-f34d1ed017a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.52223621, 0.51849084, 0.51806824, ..., 0.41639844, 0.41398694,\n","        0.39688256],\n","       [0.42023341, 0.54086483, 0.4446006 , ..., 0.32041224, 0.37032762,\n","        0.3554307 ],\n","       [0.47666897, 0.49026   , 0.44327712, ..., 0.57844397, 0.60730792,\n","        0.56340785],\n","       [0.50778355, 0.54380408, 0.54385084, ..., 0.41106061, 0.5733389 ,\n","        0.53006496]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).9</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5389 0.5187 ... 0.6565 0.3359</div><input id='attrs-a58f262e-5b4c-412b-8ce5-e7c929e346dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a58f262e-5b4c-412b-8ce5-e7c929e346dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4669a94c-de67-477a-b12d-7a8271352218' class='xr-var-data-in' type='checkbox'><label for='data-4669a94c-de67-477a-b12d-7a8271352218' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.53894183, 0.51873089, 0.53845887, ..., 0.39829181, 0.43974266,\n","        0.45105216],\n","       [0.53093872, 0.4105211 , 0.4837288 , ..., 0.35349232, 0.37136404,\n","        0.36750479],\n","       [0.38417637, 0.42967984, 0.46576928, ..., 0.66560203, 0.69036729,\n","        0.74103419],\n","       [0.72650264, 0.56557054, 0.66633935, ..., 0.7249323 , 0.65647989,\n","        0.33590314]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).10</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5152 0.5248 ... 0.2425 0.2685</div><input id='attrs-199764ac-c1c0-47d5-80c3-18e69479da0c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-199764ac-c1c0-47d5-80c3-18e69479da0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4cfe121-a197-402e-b4ca-cdbb85309e69' class='xr-var-data-in' type='checkbox'><label for='data-f4cfe121-a197-402e-b4ca-cdbb85309e69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.51517254, 0.52478486, 0.53767254, ..., 0.46036913, 0.47734433,\n","        0.37253966],\n","       [0.43010939, 0.35904795, 0.43954727, ..., 0.35711072, 0.3848801 ,\n","        0.34979851],\n","       [0.41514638, 0.45673418, 0.43688999, ..., 0.6264096 , 0.66627549,\n","        0.54860403],\n","       [0.45577094, 0.52519288, 0.54909017, ..., 0.42671718, 0.24248025,\n","        0.26847673]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).11</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5049 0.526 ... 0.6155 0.5086</div><input id='attrs-495e8c0a-b19b-4a1a-98e7-a32f3a53f01a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-495e8c0a-b19b-4a1a-98e7-a32f3a53f01a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4ad59df-b6fa-42fa-a686-9fe95a762155' class='xr-var-data-in' type='checkbox'><label for='data-b4ad59df-b6fa-42fa-a686-9fe95a762155' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50493457, 0.52601065, 0.53260168, ..., 0.41285568, 0.48508831,\n","        0.49209385],\n","       [0.54477627, 0.52271911, 0.40437607, ..., 0.35760172, 0.33282729,\n","        0.33141192],\n","       [0.41818044, 0.38636   , 0.44382622, ..., 0.58064643, 0.55639315,\n","        0.61663075],\n","       [0.49491297, 0.45224452, 0.73585204, ..., 0.4301459 , 0.61545953,\n","        0.50860924]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).12</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5213 0.5419 ... 0.3349 0.343</div><input id='attrs-3728719b-53d5-4616-bd07-bb77f0a6498e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3728719b-53d5-4616-bd07-bb77f0a6498e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e41349c-808d-4d0a-865b-9dfeeb028c1e' class='xr-var-data-in' type='checkbox'><label for='data-4e41349c-808d-4d0a-865b-9dfeeb028c1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.5212583 , 0.54188888, 0.5235641 , ..., 0.43989966, 0.42058704,\n","        0.43030805],\n","       [0.50277692, 0.52012282, 0.51630932, ..., 0.31675397, 0.34386516,\n","        0.38312798],\n","       [0.44344119, 0.44661897, 0.44608577, ..., 0.54933165, 0.62398452,\n","        0.53003324],\n","       [0.4260118 , 0.63516824, 0.53863592, ..., 0.71372987, 0.33491834,\n","        0.34303597]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).13</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5432 0.5291 ... 0.5243 0.4567</div><input id='attrs-8297cc1f-879a-4f13-b322-3e566d41596e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8297cc1f-879a-4f13-b322-3e566d41596e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db5e6a84-856b-4b4d-a2dd-b352ce397586' class='xr-var-data-in' type='checkbox'><label for='data-db5e6a84-856b-4b4d-a2dd-b352ce397586' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.54322384, 0.52909705, 0.55502188, ..., 0.4099787 , 0.40528513,\n","        0.40935211],\n","       [0.47289705, 0.44163769, 0.60273802, ..., 0.37102856, 0.36840819,\n","        0.3569225 ],\n","       [0.44227019, 0.4385989 , 0.42941462, ..., 0.62574009, 0.52847148,\n","        0.70228168],\n","       [0.60352288, 0.5571705 , 0.51177746, ..., 0.48695864, 0.52426121,\n","        0.45668767]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).14</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5352 0.5302 ... 0.3915 0.482</div><input id='attrs-e3431bd4-ef78-48ce-9485-6711dd0b5d19' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3431bd4-ef78-48ce-9485-6711dd0b5d19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9b47140-4011-4627-9c32-9253aaca8c91' class='xr-var-data-in' type='checkbox'><label for='data-f9b47140-4011-4627-9c32-9253aaca8c91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.53517413, 0.53023552, 0.53932885, ..., 0.4215824 , 0.43795166,\n","        0.41990944],\n","       [0.44772594, 0.50845685, 0.40791958, ..., 0.34015804, 0.31264579,\n","        0.33356321],\n","       [0.47313956, 0.47412573, 0.42567999, ..., 0.57191319, 0.65520837,\n","        0.52117931],\n","       [0.59907902, 0.50467367, 0.56364764, ..., 0.32410392, 0.39146484,\n","        0.48200722]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).15</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5154 0.5544 ... 0.6764 0.4767</div><input id='attrs-98d61b7b-78e8-45db-be94-0f7299958223' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98d61b7b-78e8-45db-be94-0f7299958223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fdb3d3a-ef92-448e-b405-e9b7daade6a0' class='xr-var-data-in' type='checkbox'><label for='data-2fdb3d3a-ef92-448e-b405-e9b7daade6a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.51544814, 0.55441715, 0.5369472 , ..., 0.44657635, 0.42110108,\n","        0.43029673],\n","       [0.50933533, 0.54978554, 0.53512767, ..., 0.38838318, 0.38900219,\n","        0.38799082],\n","       [0.415956  , 0.40331182, 0.43297443, ..., 0.63307906, 0.61471599,\n","        0.53062489],\n","       [0.51416922, 0.60061159, 0.77322078, ..., 0.63233283, 0.67644267,\n","        0.47670129]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).16</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4987 0.5539 ... 0.2881 0.4387</div><input id='attrs-bbfd2408-29d3-4b20-89ce-8d0ad95bdff0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbfd2408-29d3-4b20-89ce-8d0ad95bdff0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aaea34b-9b3d-4388-a198-7ff44772d2e3' class='xr-var-data-in' type='checkbox'><label for='data-9aaea34b-9b3d-4388-a198-7ff44772d2e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49873089, 0.55388605, 0.51784899, ..., 0.44780395, 0.45264506,\n","        0.46079242],\n","       [0.52378959, 0.39010516, 0.46160024, ..., 0.31194964, 0.39317128,\n","        0.38411611],\n","       [0.41979257, 0.45488814, 0.4337673 , ..., 0.56279087, 0.4930675 ,\n","        0.61461319],\n","       [0.62366735, 0.30893621, 0.60258158, ..., 0.63014395, 0.28807552,\n","        0.43873705]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).17</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5488 0.5292 ... 0.6763 0.6765</div><input id='attrs-74cee488-8150-47ef-9bab-d5918189c85e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74cee488-8150-47ef-9bab-d5918189c85e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2bf1ccf-ebc4-4e78-ae98-77abfce47062' class='xr-var-data-in' type='checkbox'><label for='data-c2bf1ccf-ebc4-4e78-ae98-77abfce47062' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.54880847, 0.52919466, 0.53658539, ..., 0.41756062, 0.43958832,\n","        0.43013326],\n","       [0.59066257, 0.37799768, 0.42050439, ..., 0.31974277, 0.34912799,\n","        0.39404786],\n","       [0.44355938, 0.42279653, 0.39246558, ..., 0.67057232, 0.71206299,\n","        0.52813348],\n","       [0.59275359, 0.58619276, 0.65020489, ..., 0.73028249, 0.67627317,\n","        0.67650849]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).18</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5539 0.5081 ... 0.4999 0.4627</div><input id='attrs-74dbfd9f-09f5-4ce6-9fd1-642330622e17' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74dbfd9f-09f5-4ce6-9fd1-642330622e17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-916cbd96-5445-4bc5-8a0f-d04f85b68ec1' class='xr-var-data-in' type='checkbox'><label for='data-916cbd96-5445-4bc5-8a0f-d04f85b68ec1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.55390993, 0.50809305, 0.5561089 , ..., 0.38243369, 0.36464327,\n","        0.4683844 ],\n","       [0.63669841, 0.32715122, 0.41712735, ..., 0.34362668, 0.36421661,\n","        0.35442749],\n","       [0.46431415, 0.46458042, 0.45253857, ..., 0.62922141, 0.56658773,\n","        0.49455983],\n","       [0.57966894, 0.44519857, 0.65683809, ..., 0.39956113, 0.49994242,\n","        0.46274245]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).19</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5177 0.5258 ... 0.4725 0.5419</div><input id='attrs-906b5f52-afa7-406c-9480-090ad3082aba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-906b5f52-afa7-406c-9480-090ad3082aba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2fcd67e-fcc3-411f-b01d-b8608a336e4d' class='xr-var-data-in' type='checkbox'><label for='data-f2fcd67e-fcc3-411f-b01d-b8608a336e4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.51768631, 0.52576996, 0.5246764 , ..., 0.43674852, 0.44574082,\n","        0.48322397],\n","       [0.47771221, 0.51497918, 0.56662557, ..., 0.3600952 , 0.36996133,\n","        0.3694511 ],\n","       [0.37361276, 0.46892588, 0.43194528, ..., 0.57880589, 0.69212152,\n","        0.67363766],\n","       [0.63231136, 0.54671899, 0.62173131, ..., 0.36370072, 0.47248224,\n","        0.54191125]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).20</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5186 0.5435 ... 0.5839 0.4524</div><input id='attrs-31029227-d748-40dd-ad4a-7e9f65d553df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-31029227-d748-40dd-ad4a-7e9f65d553df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c773226-603b-4565-88e2-f828deea4560' class='xr-var-data-in' type='checkbox'><label for='data-0c773226-603b-4565-88e2-f828deea4560' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.5185878 , 0.54348356, 0.53395035, ..., 0.43167738, 0.43086095,\n","        0.41448017],\n","       [0.43979155, 0.49937494, 0.47217561, ..., 0.39500328, 0.36671655,\n","        0.37270891],\n","       [0.41037783, 0.46421306, 0.43619535, ..., 0.56224654, 0.59338947,\n","        0.64599867],\n","       [0.54166129, 0.51146707, 0.69871103, ..., 0.71001241, 0.5838701 ,\n","        0.45239939]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).21</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5382 0.5265 ... 0.4367 0.3502</div><input id='attrs-b0d5ec8b-f980-403e-8b36-b4c6ef268a53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0d5ec8b-f980-403e-8b36-b4c6ef268a53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-823c24c0-38a0-4834-b131-97f7b32c558c' class='xr-var-data-in' type='checkbox'><label for='data-823c24c0-38a0-4834-b131-97f7b32c558c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.53816669, 0.52646952, 0.52660401, ..., 0.40420971, 0.462904  ,\n","        0.44788987],\n","       [0.40857345, 0.52078623, 0.46587555, ..., 0.35462515, 0.33392374,\n","        0.35992691],\n","       [0.41523992, 0.40974197, 0.45350673, ..., 0.71065239, 0.6948621 ,\n","        0.68559061],\n","       [0.48449412, 0.68281905, 0.79986305, ..., 0.39522185, 0.43669371,\n","        0.35024138]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).22</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5225 0.5232 ... 0.4473 0.5193</div><input id='attrs-cd65600f-9585-4455-8962-2eaed8463954' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd65600f-9585-4455-8962-2eaed8463954' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a2b0d59-26ef-45c1-b837-ae3231710c89' class='xr-var-data-in' type='checkbox'><label for='data-6a2b0d59-26ef-45c1-b837-ae3231710c89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.52253727, 0.52320068, 0.50867868, ..., 0.40838599, 0.39150148,\n","        0.42531744],\n","       [0.54316289, 0.50977762, 0.49936854, ..., 0.33255487, 0.37513945,\n","        0.36151224],\n","       [0.43023986, 0.42939615, 0.43969197, ..., 0.47197755, 0.53761719,\n","        0.75514986],\n","       [0.46361649, 0.7395402 , 0.66889164, ..., 0.46410093, 0.44728243,\n","        0.51927111]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).23</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5174 0.5359 ... 0.3789 0.3408</div><input id='attrs-43cd0cb4-1fe4-4cc3-b10e-f93dd199094f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-43cd0cb4-1fe4-4cc3-b10e-f93dd199094f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-948964cd-c9b7-43d3-bab2-b685334c1fbd' class='xr-var-data-in' type='checkbox'><label for='data-948964cd-c9b7-43d3-bab2-b685334c1fbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.51740799, 0.53592846, 0.51925218, ..., 0.42683584, 0.41905452,\n","        0.45391871],\n","       [0.34876887, 0.41741893, 0.56123239, ..., 0.3758047 , 0.38947822,\n","        0.36696886],\n","       [0.47401995, 0.45932075, 0.43058362, ..., 0.56604042, 0.56712944,\n","        0.58826472],\n","       [0.51997173, 0.49386422, 0.45185258, ..., 0.40488522, 0.37885321,\n","        0.34078487]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).24</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5253 0.5314 ... 0.4989 0.4724</div><input id='attrs-c7ec44ee-86db-4d18-9a36-4d88369b2ef6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7ec44ee-86db-4d18-9a36-4d88369b2ef6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-928d93f0-d6da-4a26-a02d-01f9fd8a8dfc' class='xr-var-data-in' type='checkbox'><label for='data-928d93f0-d6da-4a26-a02d-01f9fd8a8dfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.52533882, 0.53140649, 0.53926953, ..., 0.45592491, 0.45485525,\n","        0.41882049],\n","       [0.39559017, 0.56634414, 0.28257365, ..., 0.34043353, 0.3720971 ,\n","        0.3863997 ],\n","       [0.46472864, 0.40965536, 0.45980635, ..., 0.67985444, 0.47945956,\n","        0.53381128],\n","       [0.44934139, 0.54130065, 0.65772943, ..., 0.33938582, 0.49894253,\n","        0.47237921]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).25</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5442 0.5374 ... 0.6745 0.4972</div><input id='attrs-419f0b89-322d-4368-bdd1-2aa794fce13f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-419f0b89-322d-4368-bdd1-2aa794fce13f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-302b2978-f91b-4405-9698-3b3e0a15c593' class='xr-var-data-in' type='checkbox'><label for='data-302b2978-f91b-4405-9698-3b3e0a15c593' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.54416324, 0.53744894, 0.53601374, ..., 0.44808424, 0.40809625,\n","        0.38127731],\n","       [0.4973378 , 0.48963321, 0.41030457, ..., 0.3366984 , 0.34252871,\n","        0.35316338],\n","       [0.4083373 , 0.41344707, 0.41015666, ..., 0.52701302, 0.6183134 ,\n","        0.62828231],\n","       [0.45901774, 0.57133619, 0.68257415, ..., 0.47052787, 0.67450726,\n","        0.49718557]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).26</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5382 0.528 ... 0.5692 0.4946</div><input id='attrs-12363468-5b99-4c80-bb5e-da9705928539' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12363468-5b99-4c80-bb5e-da9705928539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8285f81f-09fb-482c-9549-d36077547c71' class='xr-var-data-in' type='checkbox'><label for='data-8285f81f-09fb-482c-9549-d36077547c71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.53823952, 0.52803817, 0.52603391, ..., 0.3863077 , 0.38925699,\n","        0.46221684],\n","       [0.59841289, 0.61913147, 0.41940723, ..., 0.35213723, 0.3616186 ,\n","        0.36683655],\n","       [0.44248977, 0.43100528, 0.43359932, ..., 0.56936648, 0.57610606,\n","        0.57878384],\n","       [0.52593655, 0.55270356, 0.53333676, ..., 0.23936575, 0.56915597,\n","        0.49458063]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).27</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5269 0.5436 ... 0.4958 0.6313</div><input id='attrs-4442367a-85fc-48d8-beeb-916160848e12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4442367a-85fc-48d8-beeb-916160848e12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fd15b0a-8d0b-427a-a9ec-d208832725ff' class='xr-var-data-in' type='checkbox'><label for='data-8fd15b0a-8d0b-427a-a9ec-d208832725ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.5268889 , 0.54364135, 0.53155916, ..., 0.42803066, 0.42742784,\n","        0.49245728],\n","       [0.4963103 , 0.40531526, 0.55290543, ..., 0.36714121, 0.35906078,\n","        0.35246556],\n","       [0.44960176, 0.42369586, 0.43906288, ..., 0.57273854, 0.56247489,\n","        0.60304366],\n","       [0.40897534, 0.43617624, 0.66118136, ..., 0.58419425, 0.49582912,\n","        0.63127463]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).28</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5172 0.5421 ... 0.0863 0.08169</div><input id='attrs-20fa4b9c-7d0f-4110-8a24-0e6c26f7b974' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20fa4b9c-7d0f-4110-8a24-0e6c26f7b974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6af9c7d-e9a0-41ee-b8f4-1e0a1eea6108' class='xr-var-data-in' type='checkbox'><label for='data-a6af9c7d-e9a0-41ee-b8f4-1e0a1eea6108' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.51724633, 0.54213397, 0.53847295, ..., 0.44196174, 0.44675738,\n","        0.44407432],\n","       [0.41708705, 0.49282625, 0.49788972, ..., 0.37753475, 0.37717933,\n","        0.34262621],\n","       [0.42830347, 0.42123108, 0.44203687, ..., 0.57964453, 0.57988648,\n","        0.45768911],\n","       [0.4539581 , 0.48280377, 0.48628286, ..., 0.06394489, 0.08630225,\n","        0.08168961]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).29</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5169 0.544 ... 0.3486 0.4531</div><input id='attrs-19c877fd-7782-435d-b427-e3f78fb7ca1b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19c877fd-7782-435d-b427-e3f78fb7ca1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a22c0fe-a28c-44b4-a6a9-638b9afcb94c' class='xr-var-data-in' type='checkbox'><label for='data-1a22c0fe-a28c-44b4-a6a9-638b9afcb94c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.5169439 , 0.54400851, 0.53910823, ..., 0.42001096, 0.44799264,\n","        0.40843899],\n","       [0.36437991, 0.38591366, 0.48310879, ..., 0.34118638, 0.33793721,\n","        0.35057358],\n","       [0.45355729, 0.43951339, 0.44271274, ..., 0.70242971, 0.46339593,\n","        0.48223099],\n","       [0.34686154, 0.43284375, 0.34133494, ..., 0.34024087, 0.34862203,\n","        0.45308524]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).30</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5206 0.5294 ... 0.3165 0.5589</div><input id='attrs-343d85bd-df0b-4f3f-8b66-9cf1da1e08a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-343d85bd-df0b-4f3f-8b66-9cf1da1e08a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23d66e1f-cb7f-4c14-8a77-1d09c267cda0' class='xr-var-data-in' type='checkbox'><label for='data-23d66e1f-cb7f-4c14-8a77-1d09c267cda0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.52059004, 0.52943487, 0.51261179, ..., 0.42508024, 0.43476022,\n","        0.40117955],\n","       [0.43522061, 0.50362329, 0.53577948, ..., 0.38094445, 0.33923197,\n","        0.33587872],\n","       [0.42600216, 0.42467087, 0.4437312 , ..., 0.44414133, 0.64407272,\n","        0.63035328],\n","       [0.41032504, 0.64007171, 0.65297002, ..., 0.47812453, 0.3165112 ,\n","        0.55892168]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).31</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5233 0.5102 ... 0.4247 0.3903</div><input id='attrs-c7849aa6-6440-4b9d-9d66-b62ff48c2bf8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7849aa6-6440-4b9d-9d66-b62ff48c2bf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f19f36e-a5a4-40fb-8725-ad856d38f80a' class='xr-var-data-in' type='checkbox'><label for='data-8f19f36e-a5a4-40fb-8725-ad856d38f80a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.52329724, 0.51024375, 0.5114149 , ..., 0.42658502, 0.43896758,\n","        0.41043909],\n","       [0.50250405, 0.5715299 , 0.51529678, ..., 0.34882208, 0.35270372,\n","        0.35289565],\n","       [0.49539245, 0.40047635, 0.41286626, ..., 0.63762951, 0.53436647,\n","        0.70958723],\n","       [0.50557365, 0.46272564, 0.68302065, ..., 0.47465148, 0.42470632,\n","        0.39030951]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).32</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5367 0.5401 ... 0.439 0.3257</div><input id='attrs-d8439c9f-8480-4724-a0aa-a4f9a3f82888' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8439c9f-8480-4724-a0aa-a4f9a3f82888' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ca694ee-ce6a-40e0-bb28-7da4fd00666c' class='xr-var-data-in' type='checkbox'><label for='data-3ca694ee-ce6a-40e0-bb28-7da4fd00666c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.5367057 , 0.54009987, 0.52251027, ..., 0.43671082, 0.41667425,\n","        0.39931869],\n","       [0.36463008, 0.49684433, 0.442293  , ..., 0.34459163, 0.36037112,\n","        0.35305024],\n","       [0.40200227, 0.45454501, 0.55606053, ..., 0.56010868, 0.46945176,\n","        0.70717862],\n","       [0.48637823, 0.48778662, 0.41310235, ..., 0.45441616, 0.43896435,\n","        0.32571329]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).33</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5416 0.5308 ... 0.3569 0.2245</div><input id='attrs-018cdfa8-2856-4cc8-a4a0-4291237162e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-018cdfa8-2856-4cc8-a4a0-4291237162e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b933210-8f58-4d5d-99aa-f6a29be19fd9' class='xr-var-data-in' type='checkbox'><label for='data-5b933210-8f58-4d5d-99aa-f6a29be19fd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.54156689, 0.53082403, 0.5324714 , ..., 0.47901569, 0.38191193,\n","        0.40721837],\n","       [0.46077044, 0.42893755, 0.48064806, ..., 0.34116761, 0.34855182,\n","        0.37893879],\n","       [0.43875299, 0.49822456, 0.46700841, ..., 0.67334122, 0.5254011 ,\n","        0.56563148],\n","       [0.49897639, 0.59263914, 0.50036837, ..., 0.4900184 , 0.35692127,\n","        0.22449656]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).34</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.536 0.5453 ... 0.7022 0.4299</div><input id='attrs-c301a363-f702-4782-a72c-39a21809944c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c301a363-f702-4782-a72c-39a21809944c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a4fbe43-6f15-4cc9-97e9-58512676d973' class='xr-var-data-in' type='checkbox'><label for='data-6a4fbe43-6f15-4cc9-97e9-58512676d973' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.5360256 , 0.54533782, 0.54452598, ..., 0.402823  , 0.41854377,\n","        0.40316671],\n","       [0.51078112, 0.51225305, 0.53115957, ..., 0.35631927, 0.37140773,\n","        0.35616218],\n","       [0.47096026, 0.46375342, 0.4337267 , ..., 0.67219865, 0.55233471,\n","        0.61682199],\n","       [0.45740902, 0.62146946, 0.67090165, ..., 0.4908201 , 0.70218924,\n","        0.42992286]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).35</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5145 0.5206 ... 0.2948 0.3977</div><input id='attrs-303740eb-3123-433c-8d9c-3b770f1a9dd2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-303740eb-3123-433c-8d9c-3b770f1a9dd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e9df0a-db8c-4251-ab0a-987ce7a3b429' class='xr-var-data-in' type='checkbox'><label for='data-45e9df0a-db8c-4251-ab0a-987ce7a3b429' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.51448773, 0.52060194, 0.5399701 , ..., 0.48315507, 0.38865121,\n","        0.41887468],\n","       [0.41987679, 0.44286479, 0.53690084, ..., 0.3514673 , 0.35716706,\n","        0.37735154],\n","       [0.4056194 , 0.41602512, 0.43954435, ..., 0.55714954, 0.57037116,\n","        0.486575  ],\n","       [0.42859486, 0.5018742 , 0.51482684, ..., 0.35708279, 0.29481855,\n","        0.39768351]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).36</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5115 0.5341 ... -0.02699 0.1692</div><input id='attrs-7b6875dc-2c4d-4bad-8ba1-dfbcff20ed60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b6875dc-2c4d-4bad-8ba1-dfbcff20ed60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e82f99f2-1f39-450c-a44b-dea1b6cd17e0' class='xr-var-data-in' type='checkbox'><label for='data-e82f99f2-1f39-450c-a44b-dea1b6cd17e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.51148967,  0.53405087,  0.52708801, ...,  0.42250883,\n","         0.43575375,  0.44552473],\n","       [ 0.46534307,  0.45580575,  0.44885563, ...,  0.35413725,\n","         0.35730839,  0.34742339],\n","       [ 0.45480908,  0.38535834,  0.44481007, ...,  0.60449008,\n","         0.5891432 ,  0.57519115],\n","       [ 0.51422134,  0.36300363,  0.51411205, ...,  0.21230642,\n","        -0.02698999,  0.16915402]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).37</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5318 0.5188 ... 0.3793 0.4296</div><input id='attrs-32882bd0-3874-4d9e-a777-9b6f344fc916' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-32882bd0-3874-4d9e-a777-9b6f344fc916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ef08b6e-5576-4bcd-9ac7-86a6d66c7d1a' class='xr-var-data-in' type='checkbox'><label for='data-9ef08b6e-5576-4bcd-9ac7-86a6d66c7d1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.53176392, 0.51878173, 0.5377208 , ..., 0.43452089, 0.46027181,\n","        0.42405435],\n","       [0.42485591, 0.58249348, 0.46882557, ..., 0.35704447, 0.35999516,\n","        0.35101341],\n","       [0.39296387, 0.45306426, 0.42056666, ..., 0.64626235, 0.60356959,\n","        0.644351  ],\n","       [0.53485117, 0.61579151, 0.52270854, ..., 0.55387495, 0.37926773,\n","        0.42963878]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).38</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5527 0.5375 ... 0.5037 0.4224</div><input id='attrs-4316618e-0d27-45dc-8a66-798b7f34ff7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4316618e-0d27-45dc-8a66-798b7f34ff7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af9c4614-715a-4922-9ee5-ad96148028f5' class='xr-var-data-in' type='checkbox'><label for='data-af9c4614-715a-4922-9ee5-ad96148028f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.55267515, 0.53747363, 0.54194797, ..., 0.46434843, 0.45364193,\n","        0.44092183],\n","       [0.45095185, 0.42888899, 0.45823033, ..., 0.3536635 , 0.35904823,\n","        0.35757839],\n","       [0.44671869, 0.38051525, 0.47443337, ..., 0.61886231, 0.60466119,\n","        0.61421677],\n","       [0.50853442, 0.56970012, 0.60137813, ..., 0.53441191, 0.50365574,\n","        0.42235666]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(easy).39</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5316 0.5523 ... 0.4275 0.335</div><input id='attrs-90690d62-567c-44b5-be05-f3261c8cd71b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90690d62-567c-44b5-be05-f3261c8cd71b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de96b13c-6cc9-4348-9468-70c00484b9c9' class='xr-var-data-in' type='checkbox'><label for='data-de96b13c-6cc9-4348-9468-70c00484b9c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.53156033, 0.55233799, 0.51018522, ..., 0.41833594, 0.40666199,\n","        0.43339604],\n","       [0.49235799, 0.43385434, 0.57179038, ..., 0.36557106, 0.36794293,\n","        0.35316743],\n","       [0.42814242, 0.42431721, 0.47280039, ..., 0.54914418, 0.64181814,\n","        0.59630005],\n","       [0.50851834, 0.47611262, 0.53701015, ..., 0.66459082, 0.42749788,\n","        0.33495492]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9685 0.9672 ... 1.334 1.381</div><input id='attrs-cd34618c-095d-4da1-a5ce-4ccbf2015c8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd34618c-095d-4da1-a5ce-4ccbf2015c8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab48cbb8-deb5-4da8-9cce-70e704b6a7a4' class='xr-var-data-in' type='checkbox'><label for='data-ab48cbb8-deb5-4da8-9cce-70e704b6a7a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.96848753, 0.96724504, 0.97851679, ..., 0.9834974 , 0.97606941,\n","        0.9820674 ],\n","       [1.16116137, 1.10979002, 0.99859051, ..., 1.03102026, 1.00102773,\n","        1.00041127],\n","       [1.14695655, 1.07838424, 1.07153012, ..., 1.06377224, 1.11787518,\n","        1.19635012],\n","       [1.06355168, 1.18902212, 1.14611257, ..., 1.13018646, 1.33373701,\n","        1.38102861]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.003 0.9706 ... 0.8838 1.277</div><input id='attrs-c574f783-a09c-4b5f-b82e-c59eb62b1d5b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c574f783-a09c-4b5f-b82e-c59eb62b1d5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3f31a3a-5571-4ea9-ad53-6d2eb4aab035' class='xr-var-data-in' type='checkbox'><label for='data-e3f31a3a-5571-4ea9-ad53-6d2eb4aab035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.00265625, 0.970577  , 0.98274487, ..., 0.94315645, 0.99077585,\n","        0.92520957],\n","       [0.96778582, 1.09904887, 1.21970278, ..., 1.01814818, 1.00595436,\n","        1.0200118 ],\n","       [1.12662227, 1.08636528, 1.12813059, ..., 0.99913544, 1.18043557,\n","        0.99453171],\n","       [1.12271877, 1.17134916, 1.02208657, ..., 0.87386831, 0.88379767,\n","        1.27746226]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9855 0.9738 ... 0.9072 1.447</div><input id='attrs-e8d1703d-6159-4f99-b4ca-7aeceeaeab24' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e8d1703d-6159-4f99-b4ca-7aeceeaeab24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c80d92d-322e-4edd-92ea-713a7de5003f' class='xr-var-data-in' type='checkbox'><label for='data-1c80d92d-322e-4edd-92ea-713a7de5003f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98549677, 0.97380752, 0.98608208, ..., 0.99906116, 0.96485998,\n","        0.9716861 ],\n","       [1.02526087, 1.01172472, 1.02172712, ..., 0.98990703, 1.01242422,\n","        1.00892825],\n","       [1.10680134, 1.09531327, 1.11990096, ..., 0.99687393, 1.19530673,\n","        1.03870991],\n","       [0.9624657 , 1.1277388 , 1.16261601, ..., 1.20668028, 0.90722501,\n","        1.44669676]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9696 0.9837 ... 0.8315 1.053</div><input id='attrs-600ef94b-eb62-4c90-b9b3-7f54e03866d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-600ef94b-eb62-4c90-b9b3-7f54e03866d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c85a9f1b-d809-4bab-b9b2-6d1ad807ebab' class='xr-var-data-in' type='checkbox'><label for='data-c85a9f1b-d809-4bab-b9b2-6d1ad807ebab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.96959507, 0.98368736, 0.97028772, ..., 1.02014707, 0.91880248,\n","        0.95866212],\n","       [0.97765782, 1.01397625, 0.93371858, ..., 1.01942969, 0.99647145,\n","        1.01716086],\n","       [1.05540188, 1.07373132, 1.13196261, ..., 1.08862789, 1.05602586,\n","        1.24761913],\n","       [1.08605064, 1.10864382, 1.13317064, ..., 0.95668694, 0.831483  ,\n","        1.05285608]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9808 0.9999 ... 1.121 1.029</div><input id='attrs-eaf52c7d-3142-4289-9b45-ce87f9874208' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eaf52c7d-3142-4289-9b45-ce87f9874208' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fc97f0f-4bc2-43f0-8e87-4ffd180f5d95' class='xr-var-data-in' type='checkbox'><label for='data-9fc97f0f-4bc2-43f0-8e87-4ffd180f5d95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98083821, 0.99985752, 0.97393778, ..., 0.99808566, 0.95928389,\n","        1.01215861],\n","       [0.93674894, 1.05537143, 0.93427957, ..., 1.00948229, 1.02898906,\n","        1.01697306],\n","       [1.06074432, 1.09762785, 1.07204867, ..., 1.10028565, 1.15341303,\n","        1.01488139],\n","       [1.11328695, 0.95563585, 0.99300832, ..., 1.06397948, 1.12105198,\n","        1.02929547]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).5</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9774 0.9609 ... 0.8583 1.072</div><input id='attrs-9a5fb2fc-5e34-41ce-ad96-0cd0dc82e166' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a5fb2fc-5e34-41ce-ad96-0cd0dc82e166' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df0e6b24-33c1-4dfb-b497-d043612bcbe5' class='xr-var-data-in' type='checkbox'><label for='data-df0e6b24-33c1-4dfb-b497-d043612bcbe5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97743296, 0.96091219, 0.95992578, ..., 0.99408208, 0.92788622,\n","        1.02363536],\n","       [1.02218927, 1.02013001, 1.02202699, ..., 1.02541591, 1.01670517,\n","        0.98985228],\n","       [1.11576888, 1.10928377, 1.07860499, ..., 1.03922784, 1.16305834,\n","        1.09371265],\n","       [1.05398705, 1.00576269, 1.09941164, ..., 0.81949409, 0.85828351,\n","        1.0723535 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).6</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9764 0.9886 ... 1.116 1.092</div><input id='attrs-5dcaa133-ee77-49d0-8b58-42511af7da86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5dcaa133-ee77-49d0-8b58-42511af7da86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7ea3652-44ba-4ea4-b303-193b149d197d' class='xr-var-data-in' type='checkbox'><label for='data-e7ea3652-44ba-4ea4-b303-193b149d197d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97642994, 0.9885579 , 0.95930232, ..., 0.98078028, 0.95114109,\n","        0.97780595],\n","       [0.9738678 , 1.01971905, 1.02501153, ..., 1.04381395, 1.03955578,\n","        1.00270738],\n","       [1.10758639, 1.11190302, 1.06751609, ..., 0.94379905, 1.02233041,\n","        1.17546924],\n","       [1.08213629, 1.01614325, 1.10084599, ..., 1.03858525, 1.11592706,\n","        1.0920645 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).7</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9407 0.9492 ... 1.041 1.233</div><input id='attrs-af5e620c-7783-43bb-bc98-f0e53332ffed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af5e620c-7783-43bb-bc98-f0e53332ffed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c2206a7-d396-48e9-8433-2da2d80ba662' class='xr-var-data-in' type='checkbox'><label for='data-2c2206a7-d396-48e9-8433-2da2d80ba662' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.94067935, 0.94921588, 0.98745444, ..., 0.96281185, 0.93720249,\n","        0.93457525],\n","       [1.05525571, 1.07430109, 1.11995208, ..., 1.05806842, 0.97828926,\n","        1.05406565],\n","       [1.08911975, 1.12909474, 1.03128033, ..., 1.07598603, 1.12501084,\n","        1.14560571],\n","       [1.20143339, 1.25563192, 1.20991683, ..., 1.06941116, 1.04098985,\n","        1.23309408]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).8</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9742 0.9737 1.002 ... 1.159 1.124</div><input id='attrs-3f050c7c-3f9f-414e-9eae-d7ffab315a4b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f050c7c-3f9f-414e-9eae-d7ffab315a4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0f40e96-607c-4282-9f25-817add0198ba' class='xr-var-data-in' type='checkbox'><label for='data-b0f40e96-607c-4282-9f25-817add0198ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97421461, 0.97370151, 1.0019649 , ..., 0.98178279, 0.9689957 ,\n","        0.92022828],\n","       [1.01363675, 1.05718747, 1.05943224, ..., 1.00474013, 1.01603126,\n","        1.00062334],\n","       [1.11918661, 1.03805537, 1.12049177, ..., 1.10618514, 1.12111054,\n","        1.00567445],\n","       [1.00946096, 0.96664675, 0.93820332, ..., 1.18506224, 1.15887376,\n","        1.12428929]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).9</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9887 0.9827 ... 1.129 1.046</div><input id='attrs-d28bc9ea-5197-4a4c-b426-26125208ad4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d28bc9ea-5197-4a4c-b426-26125208ad4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-926839a6-3fcc-471b-921a-2bf41aa13669' class='xr-var-data-in' type='checkbox'><label for='data-926839a6-3fcc-471b-921a-2bf41aa13669' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98868985, 0.98265997, 0.97358495, ..., 0.97852556, 0.98420388,\n","        0.9128359 ],\n","       [1.08390491, 1.07668179, 1.0842196 , ..., 1.0308026 , 1.00891345,\n","        1.00961021],\n","       [1.10588748, 1.10761485, 1.03350677, ..., 1.04297211, 1.0878723 ,\n","        1.08655923],\n","       [1.08938547, 1.10708174, 1.04884091, ..., 0.97364371, 1.12931189,\n","        1.04577849]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).10</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9833 0.9736 0.9707 ... 1.11 1.009</div><input id='attrs-ddf16f87-e69f-4ae7-b605-a060428d6291' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddf16f87-e69f-4ae7-b605-a060428d6291' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0d342b4-b50e-4b5e-a086-bbdc0cf4a646' class='xr-var-data-in' type='checkbox'><label for='data-b0d342b4-b50e-4b5e-a086-bbdc0cf4a646' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98328296, 0.97360524, 0.97073013, ..., 0.98115292, 0.97066676,\n","        0.9568213 ],\n","       [1.0957415 , 0.95301443, 0.98736681, ..., 1.01204714, 1.00938931,\n","        1.00795313],\n","       [1.12854155, 1.09579893, 1.10090163, ..., 0.95058135, 1.07668279,\n","        1.08280792],\n","       [1.16220391, 0.84084806, 1.28371178, ..., 1.058991  , 1.11022731,\n","        1.00911495]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).11</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9894 0.9655 ... 1.139 1.227</div><input id='attrs-79779bb9-8684-4153-ab6c-3f447c55d1c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79779bb9-8684-4153-ab6c-3f447c55d1c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2a2ca78-5135-4976-8416-b63b9bcf56e6' class='xr-var-data-in' type='checkbox'><label for='data-f2a2ca78-5135-4976-8416-b63b9bcf56e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98942417, 0.96551714, 0.96444781, ..., 0.9369362 , 0.9564837 ,\n","        0.97393664],\n","       [1.07627316, 0.95760862, 0.92286386, ..., 1.01235279, 1.02760495,\n","        1.00140774],\n","       [1.10862269, 1.06707702, 1.08354454, ..., 1.08961996, 1.18215526,\n","        1.08369028],\n","       [1.03562948, 1.09491459, 1.15830478, ..., 1.22099474, 1.1388351 ,\n","        1.22744338]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).12</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9996 1.009 0.9441 ... 1.024 1.153</div><input id='attrs-555444bb-ebb4-4d05-8412-a852e988610d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-555444bb-ebb4-4d05-8412-a852e988610d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66e29537-9d15-40db-bd5a-00fda7345439' class='xr-var-data-in' type='checkbox'><label for='data-66e29537-9d15-40db-bd5a-00fda7345439' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.99956364, 1.00936112, 0.94405046, ..., 0.97686952, 1.00184138,\n","        1.00667001],\n","       [0.90820785, 0.90272278, 0.94335463, ..., 1.0315673 , 1.01840485,\n","        1.01172261],\n","       [1.1096835 , 1.09288235, 1.10321908, ..., 1.09129757, 1.07463539,\n","        1.0862944 ],\n","       [1.19087863, 1.07257245, 1.07138336, ..., 1.02963358, 1.02446454,\n","        1.1531977 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).13</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9633 0.9834 ... 0.7669 0.6357</div><input id='attrs-cbe81aaf-2855-4bd5-bf31-df3def14847a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cbe81aaf-2855-4bd5-bf31-df3def14847a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a974d878-23c2-4023-ac0e-a0e894a6fd89' class='xr-var-data-in' type='checkbox'><label for='data-a974d878-23c2-4023-ac0e-a0e894a6fd89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.96327339, 0.98337037, 0.9640719 , ..., 0.95740146, 0.99030427,\n","        0.93684408],\n","       [1.19174585, 1.03304352, 1.0588564 , ..., 0.9964099 , 1.01893868,\n","        1.01373363],\n","       [1.07629369, 1.04550305, 1.11019715, ..., 1.00292895, 1.10523974,\n","        1.17040846],\n","       [1.09855749, 0.91421683, 0.98694196, ..., 0.97555787, 0.76694313,\n","        0.63565143]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).14</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9758 0.982 0.9858 ... 1.042 1.084</div><input id='attrs-13b46f53-c5fd-45b3-ba0e-2e904282919c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13b46f53-c5fd-45b3-ba0e-2e904282919c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ae04363-236c-4ae2-b466-146144393c1d' class='xr-var-data-in' type='checkbox'><label for='data-1ae04363-236c-4ae2-b466-146144393c1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.9758343 , 0.98196805, 0.98582171, ..., 0.95832706, 0.92993216,\n","        0.97540962],\n","       [1.06448466, 1.03825706, 0.96329764, ..., 1.00041105, 1.00897336,\n","        1.01273006],\n","       [1.07021118, 1.10737216, 1.05719513, ..., 1.01285642, 1.10261258,\n","        1.13237211],\n","       [1.07432653, 1.0051182 , 0.96769333, ..., 0.81764031, 1.04233591,\n","        1.08400941]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).15</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9658 0.9858 ... 1.215 0.9567</div><input id='attrs-5d0e9f66-14ab-4261-b006-4d2a28ad1ff5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d0e9f66-14ab-4261-b006-4d2a28ad1ff5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5757c2a-ccaf-4bdb-9d94-c75e0e4bc0a6' class='xr-var-data-in' type='checkbox'><label for='data-e5757c2a-ccaf-4bdb-9d94-c75e0e4bc0a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.96581656, 0.98576157, 0.99580069, ..., 0.98649889, 0.92104948,\n","        0.97570886],\n","       [1.00359954, 1.00886666, 0.94269355, ..., 1.01671635, 1.0056632 ,\n","        1.03868519],\n","       [1.09909692, 1.08262355, 1.14568539, ..., 1.02389302, 1.11224225,\n","        1.19385246],\n","       [1.13528383, 1.02886959, 0.85304564, ..., 0.90713701, 1.21513817,\n","        0.95669077]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).16</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9719 0.978 0.9759 ... 1.037 1.041</div><input id='attrs-f49b08fa-3da3-4f33-915d-292584880ac4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f49b08fa-3da3-4f33-915d-292584880ac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b62ab3ba-f455-4b32-818d-14795d2c0771' class='xr-var-data-in' type='checkbox'><label for='data-b62ab3ba-f455-4b32-818d-14795d2c0771' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97189371, 0.97803783, 0.97589826, ..., 0.98499483, 1.00913581,\n","        0.97246744],\n","       [1.0074203 , 1.00357184, 1.01867921, ..., 1.01059855, 1.01957418,\n","        1.02201134],\n","       [1.09300572, 1.10044073, 1.07013432, ..., 1.01010135, 1.17652147,\n","        1.23890019],\n","       [1.04962345, 1.14453102, 0.97781561, ..., 0.93448807, 1.0371868 ,\n","        1.04141501]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).17</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9791 0.9797 0.9891 ... 1.31 1.183</div><input id='attrs-06d4aef0-d7b9-4dad-93bb-da2d892737da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06d4aef0-d7b9-4dad-93bb-da2d892737da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8899c26-b1fc-4c8e-9361-4d5e655953ef' class='xr-var-data-in' type='checkbox'><label for='data-e8899c26-b1fc-4c8e-9361-4d5e655953ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97912744, 0.97974972, 0.98914288, ..., 0.94490936, 0.94268547,\n","        0.94071144],\n","       [1.09638799, 1.03904913, 0.98685436, ..., 1.02486925, 1.00996363,\n","        1.02181366],\n","       [1.11269756, 1.07921432, 1.08218679, ..., 1.08813078, 1.05706816,\n","        1.16450924],\n","       [1.23876837, 1.10072441, 1.3111654 , ..., 1.06768857, 1.31033977,\n","        1.18307489]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).18</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9692 0.9723 ... 1.109 1.305</div><input id='attrs-986215d2-6704-4231-bf9e-b47c25e04b39' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-986215d2-6704-4231-bf9e-b47c25e04b39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8970fe61-5c61-41fa-b832-b8f4d5b582f2' class='xr-var-data-in' type='checkbox'><label for='data-8970fe61-5c61-41fa-b832-b8f4d5b582f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.96915847, 0.97233122, 0.97415228, ..., 0.94762437, 1.01370115,\n","        0.97193657],\n","       [1.10126652, 0.97840034, 1.0517976 , ..., 1.03097469, 1.01618051,\n","        0.99667495],\n","       [1.14207902, 1.12416075, 1.05313643, ..., 1.08235896, 1.08448714,\n","        1.0128002 ],\n","       [0.96568415, 1.10082239, 1.14207125, ..., 1.19225918, 1.1086192 ,\n","        1.30465318]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).19</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9755 0.9567 ... 1.155 0.8305</div><input id='attrs-065412b7-5101-4b30-8189-c1b3d8aa3705' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-065412b7-5101-4b30-8189-c1b3d8aa3705' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff13cc07-4994-4986-8adc-3327f2040bf5' class='xr-var-data-in' type='checkbox'><label for='data-ff13cc07-4994-4986-8adc-3327f2040bf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97551091, 0.95672367, 0.98917083, ..., 0.97937172, 0.96455195,\n","        0.97614366],\n","       [1.11338833, 0.84640762, 1.02316818, ..., 1.03451768, 0.9804819 ,\n","        0.97932401],\n","       [1.13456924, 1.12586271, 1.06474448, ..., 0.92919707, 1.17969464,\n","        0.99651942],\n","       [1.03249594, 1.06159283, 1.01540072, ..., 1.10349634, 1.15464949,\n","        0.83054854]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).20</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9879 0.9922 ... 1.277 1.216</div><input id='attrs-de132db2-4592-4736-93b3-d5d82c124581' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de132db2-4592-4736-93b3-d5d82c124581' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c84f4d2-5978-47ab-a948-669196827bdf' class='xr-var-data-in' type='checkbox'><label for='data-4c84f4d2-5978-47ab-a948-669196827bdf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98789459, 0.99222637, 0.97448533, ..., 0.9829827 , 0.92990762,\n","        0.94202317],\n","       [0.92288619, 1.07873328, 0.99271085, ..., 1.02763461, 1.00795113,\n","        1.02979864],\n","       [1.11713839, 1.07507902, 1.08349657, ..., 1.05951814, 1.13854035,\n","        1.05856097],\n","       [1.12962261, 1.02458481, 1.1741069 , ..., 1.27329264, 1.27730503,\n","        1.2157762 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).21</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9654 0.9872 ... 1.202 1.156</div><input id='attrs-e7d34028-3227-4942-a50a-41bcba82f10b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e7d34028-3227-4942-a50a-41bcba82f10b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e332f2f-16e9-4991-8fb3-25a31bd1b38d' class='xr-var-data-in' type='checkbox'><label for='data-7e332f2f-16e9-4991-8fb3-25a31bd1b38d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.96541219, 0.9872057 , 0.98366209, ..., 0.97407806, 1.0098813 ,\n","        1.01530257],\n","       [0.96992204, 1.04885028, 0.93370447, ..., 1.02001496, 1.02997321,\n","        1.02147247],\n","       [1.1081892 , 1.11365407, 1.1351202 , ..., 0.98310708, 1.21835462,\n","        1.13315975],\n","       [1.15104301, 1.0706591 , 0.9458162 , ..., 1.14662812, 1.2015965 ,\n","        1.15560363]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).22</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9688 0.9748 ... 1.042 0.9256</div><input id='attrs-f07f253b-8152-46b5-b42e-a6bfb790caf5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f07f253b-8152-46b5-b42e-a6bfb790caf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d34150b7-e3bb-4f2d-b3e3-fc7fbbb7f368' class='xr-var-data-in' type='checkbox'><label for='data-d34150b7-e3bb-4f2d-b3e3-fc7fbbb7f368' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.96882233, 0.97484341, 0.96859081, ..., 0.97690742, 0.9627054 ,\n","        0.98068003],\n","       [1.05379574, 0.94643384, 1.00325972, ..., 1.00306561, 1.00622891,\n","        1.01799919],\n","       [1.08295202, 1.09132561, 1.06631437, ..., 1.08906348, 1.02709722,\n","        1.01086113],\n","       [0.9333181 , 1.28384098, 1.09777775, ..., 0.93034657, 1.04195086,\n","        0.92563675]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).23</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.958 0.9844 ... 0.8258 1.216</div><input id='attrs-90b55c45-70d0-4d79-bf1e-0b16033c7801' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90b55c45-70d0-4d79-bf1e-0b16033c7801' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af6f5acf-6950-4688-8a5c-7344508b903c' class='xr-var-data-in' type='checkbox'><label for='data-af6f5acf-6950-4688-8a5c-7344508b903c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.95803625, 0.98436671, 0.96865959, ..., 1.00167274, 0.95046096,\n","        0.95743687],\n","       [1.01972095, 1.09195075, 1.1515733 , ..., 1.0239587 , 1.02567329,\n","        1.02194643],\n","       [1.08747346, 1.10158544, 1.08499568, ..., 1.03074719, 1.05782721,\n","        1.11595135],\n","       [1.09038501, 1.0574471 , 1.05555901, ..., 1.06888047, 0.82577027,\n","        1.21616778]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).24</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.014 0.9946 ... 0.9928 0.9254</div><input id='attrs-710d2239-a310-4c70-a4a3-2e40d66765dc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-710d2239-a310-4c70-a4a3-2e40d66765dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b18b2e1-4913-49c0-8e09-12e5226632b2' class='xr-var-data-in' type='checkbox'><label for='data-7b18b2e1-4913-49c0-8e09-12e5226632b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.01425662, 0.99457068, 0.96656673, ..., 0.99999777, 0.99407531,\n","        0.99775259],\n","       [0.98440298, 0.9476393 , 0.96752213, ..., 1.04757107, 1.02132282,\n","        1.01140885],\n","       [1.071305  , 1.11816839, 1.10057628, ..., 0.98508661, 0.99380541,\n","        1.07460306],\n","       [1.22083863, 1.12131972, 1.14169627, ..., 1.23154854, 0.99278934,\n","        0.92544925]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).25</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9902 0.9655 1.001 ... 1.168 1.213</div><input id='attrs-8afe55b6-8ece-4fba-9da8-9dd15e01b7f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8afe55b6-8ece-4fba-9da8-9dd15e01b7f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a014712-eb0e-412c-afa0-cf1a8ca3d1fb' class='xr-var-data-in' type='checkbox'><label for='data-4a014712-eb0e-412c-afa0-cf1a8ca3d1fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.9901582 , 0.96550863, 1.00085126, ..., 0.96113717, 0.99064933,\n","        0.95841014],\n","       [0.9703072 , 0.97970574, 1.03059807, ..., 1.02958159, 1.02554402,\n","        1.00805589],\n","       [1.08201405, 1.10629345, 1.07506781, ..., 1.06135824, 1.08828013,\n","        1.11775929],\n","       [1.17279111, 1.23204083, 1.02397788, ..., 0.98121687, 1.16783663,\n","        1.21347574]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).26</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9731 0.9694 ... 1.134 1.096</div><input id='attrs-639b62aa-6124-4614-8b54-2f5ee8b980f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-639b62aa-6124-4614-8b54-2f5ee8b980f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1383fae-4020-40a7-9236-42c518f33810' class='xr-var-data-in' type='checkbox'><label for='data-b1383fae-4020-40a7-9236-42c518f33810' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97307904, 0.96941874, 0.96719515, ..., 0.96348916, 0.97486519,\n","        0.94110387],\n","       [1.01852981, 0.97725384, 0.98938562, ..., 1.00211245, 1.0257365 ,\n","        1.02362523],\n","       [1.1119352 , 1.11530251, 1.08915822, ..., 1.1265553 , 1.09356463,\n","        1.08804832],\n","       [1.04324954, 1.04936602, 1.18608278, ..., 1.1406343 , 1.13399331,\n","        1.09605639]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).27</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9452 0.9529 0.9951 ... 1.313 1.31</div><input id='attrs-93d16b66-b9d9-4f53-bbfc-ce8190d93f8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93d16b66-b9d9-4f53-bbfc-ce8190d93f8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d37eab9-61db-4460-af15-72f3feae3e57' class='xr-var-data-in' type='checkbox'><label for='data-7d37eab9-61db-4460-af15-72f3feae3e57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.94524397, 0.95294622, 0.99510963, ..., 0.98605957, 0.99254996,\n","        0.93716537],\n","       [1.01978109, 1.03989385, 1.07391695, ..., 0.97275946, 1.01351951,\n","        1.00392833],\n","       [1.11953711, 1.08401087, 1.10590662, ..., 1.05409903, 1.0521405 ,\n","        0.99316323],\n","       [1.13250033, 1.17777216, 1.23204932, ..., 1.19241623, 1.31318596,\n","        1.30972867]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).28</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9686 0.9759 ... 0.8906 1.087</div><input id='attrs-710bc4c6-4b95-4d8d-81eb-1f9875332437' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-710bc4c6-4b95-4d8d-81eb-1f9875332437' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf47e7eb-3f71-4df9-bb2a-c2a0b34ac8be' class='xr-var-data-in' type='checkbox'><label for='data-cf47e7eb-3f71-4df9-bb2a-c2a0b34ac8be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.96858331, 0.97588778, 0.98455555, ..., 1.00824332, 0.98804186,\n","        0.97665292],\n","       [1.05328942, 0.94335654, 1.03761558, ..., 1.01945682, 1.01447309,\n","        1.02093028],\n","       [1.11430942, 1.11114443, 1.13309954, ..., 1.08561657, 1.07018018,\n","        1.1226139 ],\n","       [1.17447807, 0.9974302 , 1.00691964, ..., 0.8232443 , 0.89057976,\n","        1.08735875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).29</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9822 0.977 ... 0.9516 0.9681</div><input id='attrs-ae6dc144-e168-42ec-ac1e-8cfc5c5ef11b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae6dc144-e168-42ec-ac1e-8cfc5c5ef11b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c4ca566-b62f-4e90-b301-3abbbf230200' class='xr-var-data-in' type='checkbox'><label for='data-2c4ca566-b62f-4e90-b301-3abbbf230200' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98222256, 0.97697265, 0.96797914, ..., 1.00955312, 0.99762301,\n","        0.9806054 ],\n","       [0.97992048, 0.99701232, 1.02329292, ..., 1.03363272, 1.00866873,\n","        1.00861534],\n","       [1.16091308, 1.170105  , 1.04764885, ..., 1.0540179 , 1.12422752,\n","        1.14593763],\n","       [1.1517827 , 1.2216757 , 1.33095545, ..., 0.97842287, 0.95164673,\n","        0.96809955]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).30</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9781 0.975 ... 0.7916 0.7657</div><input id='attrs-a379bca4-102b-454a-b016-ee71ab1711ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a379bca4-102b-454a-b016-ee71ab1711ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0e1bb6e-d75c-4d52-8fa3-a28299380aeb' class='xr-var-data-in' type='checkbox'><label for='data-c0e1bb6e-d75c-4d52-8fa3-a28299380aeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97813843, 0.97499214, 0.97730534, ..., 0.94366447, 0.94571127,\n","        0.99115212],\n","       [0.93697681, 0.99724595, 1.08690305, ..., 1.03004732, 1.00592298,\n","        0.99342582],\n","       [1.10047998, 1.07348022, 1.09594051, ..., 1.02040457, 1.08600498,\n","        1.04541149],\n","       [0.93489304, 0.91717   , 1.03825164, ..., 0.79054393, 0.79157016,\n","        0.7656759 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).31</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9855 0.9954 ... 1.081 0.7738</div><input id='attrs-96fdde6e-355b-4a6a-aa19-2b6f281207c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96fdde6e-355b-4a6a-aa19-2b6f281207c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da017fa8-69a8-458d-9377-f8664713e292' class='xr-var-data-in' type='checkbox'><label for='data-da017fa8-69a8-458d-9377-f8664713e292' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98553886, 0.99538135, 0.98784328, ..., 1.00785329, 0.91847092,\n","        0.92189669],\n","       [1.01779011, 1.04290957, 0.96444518, ..., 0.98749195, 1.00178404,\n","        1.00614285],\n","       [1.10106244, 1.08342342, 1.11653935, ..., 1.02862617, 1.13729767,\n","        1.22467024],\n","       [1.27457731, 1.05069442, 1.09335261, ..., 1.35815352, 1.08083351,\n","        0.77383481]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).32</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9868 0.99 0.9743 ... 0.956 1.134</div><input id='attrs-63959deb-826f-4a6d-8639-045c4369582f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63959deb-826f-4a6d-8639-045c4369582f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0936692d-e105-49ab-b443-8c10ee48f21b' class='xr-var-data-in' type='checkbox'><label for='data-0936692d-e105-49ab-b443-8c10ee48f21b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98684234, 0.99002486, 0.97430843, ..., 0.96980213, 0.96251083,\n","        0.9583417 ],\n","       [1.20161015, 0.90121245, 0.97182688, ..., 1.00841963, 1.02739992,\n","        0.9864226 ],\n","       [1.13122337, 1.06075634, 1.17181654, ..., 1.00951454, 1.27196618,\n","        1.17525114],\n","       [1.07923239, 1.03643646, 1.00085669, ..., 0.89113962, 0.95602705,\n","        1.13437532]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).33</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9954 0.9789 ... 1.047 1.007</div><input id='attrs-36ff1559-5439-4f11-8adf-153f16075246' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36ff1559-5439-4f11-8adf-153f16075246' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-120a58ed-6717-47dd-bab0-bff7ae56dfc6' class='xr-var-data-in' type='checkbox'><label for='data-120a58ed-6717-47dd-bab0-bff7ae56dfc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.99543807, 0.9789339 , 0.97655217, ..., 1.01064285, 1.01274477,\n","        0.97152932],\n","       [1.03791806, 1.06017503, 0.9126103 , ..., 1.01119756, 1.00360064,\n","        1.03388798],\n","       [1.10466474, 1.10183232, 1.08622532, ..., 1.0343955 , 1.09959771,\n","        1.13579017],\n","       [1.17878642, 1.21126455, 1.21683126, ..., 1.34703691, 1.04670105,\n","        1.00703375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).34</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9427 0.9618 ... 1.209 1.098</div><input id='attrs-5c83212d-1c25-4906-8b19-7a4dd767b9e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c83212d-1c25-4906-8b19-7a4dd767b9e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79496648-33b9-4eca-be0e-da3c7a1c4947' class='xr-var-data-in' type='checkbox'><label for='data-79496648-33b9-4eca-be0e-da3c7a1c4947' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.94267364, 0.96181771, 0.96358166, ..., 0.97981912, 1.01200671,\n","        0.97481407],\n","       [0.96589103, 1.11598883, 1.10813124, ..., 1.00040461, 0.99685356,\n","        1.00335742],\n","       [1.16048935, 1.14391686, 1.04513326, ..., 1.17954669, 1.02993074,\n","        1.14511854],\n","       [1.27392507, 0.9004301 , 1.19230979, ..., 1.30459398, 1.20917629,\n","        1.09790889]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).35</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9473 0.9545 ... 0.6741 0.6808</div><input id='attrs-80023aea-b90a-4cc3-a81e-a5a33f214b57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80023aea-b90a-4cc3-a81e-a5a33f214b57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-913a4161-aff6-4037-a28b-44f88ec0a9e2' class='xr-var-data-in' type='checkbox'><label for='data-913a4161-aff6-4037-a28b-44f88ec0a9e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.94733712, 0.95450532, 0.98031419, ..., 0.8946075 , 1.01019265,\n","        0.954884  ],\n","       [1.02384928, 1.04092663, 1.04250489, ..., 1.00061171, 1.0315169 ,\n","        1.03541383],\n","       [1.0695676 , 1.08171045, 1.11850147, ..., 0.99714582, 0.94074509,\n","        1.09944362],\n","       [1.05372234, 1.08411641, 1.01865588, ..., 0.74699314, 0.67410783,\n","        0.68083035]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).36</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9475 0.9969 ... 0.9704 1.004</div><input id='attrs-b65cfb26-2183-4aee-bc87-30a2b969a0d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b65cfb26-2183-4aee-bc87-30a2b969a0d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d56f0b9c-b1f6-4772-ab60-68c4f4c9c4c9' class='xr-var-data-in' type='checkbox'><label for='data-d56f0b9c-b1f6-4772-ab60-68c4f4c9c4c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.94752894, 0.99686501, 0.98654447, ..., 1.01646982, 0.9192826 ,\n","        0.98167139],\n","       [0.95787888, 1.07600919, 0.99492585, ..., 1.0288192 , 1.03381405,\n","        1.00815029],\n","       [1.1010733 , 1.11142799, 1.079641  , ..., 1.1485214 , 1.01312347,\n","        0.97381902],\n","       [1.17195055, 0.97975498, 1.02855206, ..., 1.02603874, 0.97040616,\n","        1.0042255 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).37</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9714 0.9662 ... 0.9223 0.7343</div><input id='attrs-0adb8424-b2fc-4eca-a4bf-19c721f333b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0adb8424-b2fc-4eca-a4bf-19c721f333b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-354c962c-1b61-4f8b-90d7-4c900fdf719b' class='xr-var-data-in' type='checkbox'><label for='data-354c962c-1b61-4f8b-90d7-4c900fdf719b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97144252, 0.96616121, 0.96866522, ..., 0.96823498, 0.95204559,\n","        0.94903417],\n","       [0.92867075, 0.92792179, 0.91756769, ..., 0.99848947, 1.01653374,\n","        1.0006246 ],\n","       [1.05117473, 1.02773548, 1.08547349, ..., 1.06415203, 1.00190131,\n","        0.99080623],\n","       [0.95810134, 0.91152324, 0.97175996, ..., 0.88811878, 0.92232239,\n","        0.73429659]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).38</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.986 0.9922 ... 0.9371 0.9955</div><input id='attrs-975a671a-921c-4dc0-8f56-2afaf49a6aaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-975a671a-921c-4dc0-8f56-2afaf49a6aaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79b147cc-20b1-4cd2-9c50-322664c3d806' class='xr-var-data-in' type='checkbox'><label for='data-79b147cc-20b1-4cd2-9c50-322664c3d806' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98604901, 0.9921907 , 0.99511281, ..., 0.97369447, 0.96629872,\n","        0.97297065],\n","       [1.04854933, 0.96726296, 1.03298704, ..., 1.01059922, 1.00728781,\n","        1.00865103],\n","       [1.09164846, 1.09338192, 1.10182059, ..., 1.0045876 , 1.02090991,\n","        1.1194812 ],\n","       [0.9061046 , 0.98853289, 1.04992657, ..., 1.14459621, 0.93711988,\n","        0.99552629]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj(hard).39</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.977 0.9586 0.9866 ... 1.269 1.187</div><input id='attrs-0f0b8d5e-f3be-4288-8d8a-99f7b87a69fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f0b8d5e-f3be-4288-8d8a-99f7b87a69fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5f4e157-8272-4f29-9c43-8e0579f8989e' class='xr-var-data-in' type='checkbox'><label for='data-b5f4e157-8272-4f29-9c43-8e0579f8989e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.97704287, 0.95862029, 0.98662749, ..., 0.97258311, 0.99856013,\n","        0.95011215],\n","       [1.01531263, 1.01688847, 1.08701156, ..., 1.01297515, 0.99544806,\n","        1.00551544],\n","       [1.12230348, 1.15683111, 1.06596048, ..., 1.13271271, 0.99687074,\n","        1.05645375],\n","       [1.01489497, 1.10031454, 1.16325609, ..., 0.937304  , 1.2691115 ,\n","        1.18735759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3136 0.3191 ... 0.314 0.3146</div><input id='attrs-9c2385fe-41d3-4fe8-a818-39444db494b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c2385fe-41d3-4fe8-a818-39444db494b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94a2be20-6e6b-4439-8401-e0f2fafc5141' class='xr-var-data-in' type='checkbox'><label for='data-94a2be20-6e6b-4439-8401-e0f2fafc5141' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.31358449, 0.3191444 , 0.31357818, ..., 0.31453581, 0.31672698,\n","        0.31445123],\n","       [0.30257126, 0.2988396 , 0.29803229, ..., 0.30937422, 0.30847494,\n","        0.31245408],\n","       [0.30824002, 0.30772648, 0.30688539, ..., 0.31454061, 0.31298648,\n","        0.3132177 ],\n","       [0.29662333, 0.28938555, 0.29040851, ..., 0.31457964, 0.31401511,\n","        0.31456291]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01825 0.01918 ... 0.01351 0.01849</div><input id='attrs-8f1cbccf-b189-4030-8445-3629795d030c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8f1cbccf-b189-4030-8445-3629795d030c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-047a140f-ef80-4871-8c25-9fc254ba17eb' class='xr-var-data-in' type='checkbox'><label for='data-047a140f-ef80-4871-8c25-9fc254ba17eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.01824709, 0.01917843, 0.01884087, ..., 0.01778061, 0.02257398,\n","        0.02273048],\n","       [0.01720481, 0.01505126, 0.01271495, ..., 0.01023765, 0.00943911,\n","        0.00864304],\n","       [0.00760629, 0.00755162, 0.00584433, ..., 0.00404449, 0.0036535 ,\n","        0.00417419],\n","       [0.01298425, 0.01986332, 0.01672221, ..., 0.01221434, 0.01351468,\n","        0.01848563]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2914 0.2949 ... 0.3369 0.3405</div><input id='attrs-efae6144-4b57-46af-bbab-0a6843849dad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-efae6144-4b57-46af-bbab-0a6843849dad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc1d7170-7080-480d-86e5-b579ad3e74f9' class='xr-var-data-in' type='checkbox'><label for='data-fc1d7170-7080-480d-86e5-b579ad3e74f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.29140719, 0.29490211, 0.31890555, ..., 0.33196518, 0.30268043,\n","        0.32583936],\n","       [0.31131901, 0.29310132, 0.28874452, ..., 0.3184351 , 0.31092007,\n","        0.31417318],\n","       [0.30718071, 0.30280507, 0.3020229 , ..., 0.31699953, 0.31599066,\n","        0.31529716],\n","       [0.32417703, 0.30564739, 0.29680779, ..., 0.30845729, 0.33690491,\n","        0.34053013]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3115 0.3146 ... 0.2962 0.327</div><input id='attrs-f19792bc-c859-4ce7-9cce-d1ae0aa20da4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f19792bc-c859-4ce7-9cce-d1ae0aa20da4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0999ca0-f011-4767-9337-597787d452f1' class='xr-var-data-in' type='checkbox'><label for='data-e0999ca0-f011-4767-9337-597787d452f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.31148309, 0.31462055, 0.31440076, ..., 0.29938608, 0.31164488,\n","        0.31211046],\n","       [0.29217996, 0.2736764 , 0.28972604, ..., 0.31728408, 0.32426422,\n","        0.30147752],\n","       [0.29529917, 0.29417236, 0.30615464, ..., 0.31579257, 0.31944641,\n","        0.31291103],\n","       [0.27159241, 0.27977779, 0.28184489, ..., 0.31945278, 0.29620323,\n","        0.32699766]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.307 0.3192 ... 0.3308 0.3033</div><input id='attrs-c6bd9599-74d8-4099-a96a-49a99dc49408' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6bd9599-74d8-4099-a96a-49a99dc49408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47301b2c-adbd-42c2-a7b5-a0fd73dd080c' class='xr-var-data-in' type='checkbox'><label for='data-47301b2c-adbd-42c2-a7b5-a0fd73dd080c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30697631, 0.31917115, 0.31849045, ..., 0.31026491, 0.34005041,\n","        0.29559523],\n","       [0.28033288, 0.30731331, 0.28467077, ..., 0.31935532, 0.32512988,\n","        0.33219004],\n","       [0.31551598, 0.30610104, 0.30221782, ..., 0.30899275, 0.30897719,\n","        0.31965439],\n","       [0.29841555, 0.28990093, 0.29015739, ..., 0.3386882 , 0.3307607 ,\n","        0.30326008]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2963 0.2983 ... 0.323 0.3219</div><input id='attrs-0079336e-cf69-4bb0-83d3-f9402d2ec125' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0079336e-cf69-4bb0-83d3-f9402d2ec125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eac7c504-44c9-469f-bc19-0ffd40b6a151' class='xr-var-data-in' type='checkbox'><label for='data-eac7c504-44c9-469f-bc19-0ffd40b6a151' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.29628977, 0.29834166, 0.29902487, ..., 0.3029686 , 0.31907354,\n","        0.31543003],\n","       [0.31572205, 0.3022581 , 0.28795868, ..., 0.33224634, 0.31696733,\n","        0.30344974],\n","       [0.3158831 , 0.30780112, 0.30551315, ..., 0.31039205, 0.31849696,\n","        0.31206619],\n","       [0.29724748, 0.30672586, 0.30376011, ..., 0.30714205, 0.32304242,\n","        0.32185465]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3256 0.3099 ... 0.3133 0.2968</div><input id='attrs-500769c1-6dbc-4e79-8957-74313b8ded2d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-500769c1-6dbc-4e79-8957-74313b8ded2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfd81e1d-f598-4d3c-a2c7-21b803a1424e' class='xr-var-data-in' type='checkbox'><label for='data-bfd81e1d-f598-4d3c-a2c7-21b803a1424e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32557936, 0.30990938, 0.3157737 , ..., 0.30708449, 0.34843369,\n","        0.32381623],\n","       [0.31484493, 0.2874816 , 0.29737558, ..., 0.30729874, 0.31192293,\n","        0.31463589],\n","       [0.30200362, 0.30251195, 0.30414276, ..., 0.30632297, 0.31706167,\n","        0.30836286],\n","       [0.27738897, 0.28967309, 0.31055907, ..., 0.33094846, 0.31328124,\n","        0.29683785]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.5</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3357 0.3279 ... 0.307 0.2874</div><input id='attrs-6f8ff774-0397-49c6-8dde-daca983553a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f8ff774-0397-49c6-8dde-daca983553a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10da42ae-0dcb-44a7-9fee-5fb806a65ae6' class='xr-var-data-in' type='checkbox'><label for='data-10da42ae-0dcb-44a7-9fee-5fb806a65ae6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.33569312, 0.32787513, 0.28654521, ..., 0.32123369, 0.32019381,\n","        0.31000478],\n","       [0.3089726 , 0.27515979, 0.31086291, ..., 0.30589365, 0.32825109,\n","        0.31685979],\n","       [0.31078634, 0.29930244, 0.30347114, ..., 0.31757441, 0.3126071 ,\n","        0.31652185],\n","       [0.29425552, 0.30565249, 0.28266713, ..., 0.31603448, 0.30698125,\n","        0.28741077]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.6</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3033 0.3357 ... 0.3399 0.3067</div><input id='attrs-6184ddf9-8237-4eed-be45-288ab6ff0cfd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6184ddf9-8237-4eed-be45-288ab6ff0cfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86bdd0b2-c4af-4f61-92ca-ee146c82734b' class='xr-var-data-in' type='checkbox'><label for='data-86bdd0b2-c4af-4f61-92ca-ee146c82734b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30329303, 0.33570571, 0.31901022, ..., 0.33802836, 0.3054183 ,\n","        0.31557114],\n","       [0.32756988, 0.31166394, 0.2969001 , ..., 0.29287415, 0.3207097 ,\n","        0.32147629],\n","       [0.32492002, 0.31487497, 0.30721367, ..., 0.31583733, 0.31393245,\n","        0.31798811],\n","       [0.28820414, 0.29594927, 0.29818682, ..., 0.30784873, 0.33985051,\n","        0.30671308]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.7</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3435 0.3205 ... 0.3412 0.2899</div><input id='attrs-41bef420-f468-40e1-8f6a-aabae16b5eb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41bef420-f468-40e1-8f6a-aabae16b5eb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f1f0763-49be-4c3d-aa3a-0a2b77376f3c' class='xr-var-data-in' type='checkbox'><label for='data-6f1f0763-49be-4c3d-aa3a-0a2b77376f3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.34347114, 0.32050891, 0.30874052, ..., 0.32763085, 0.32562254,\n","        0.29363287],\n","       [0.28515114, 0.2962541 , 0.31139437, ..., 0.30551491, 0.30492106,\n","        0.32173015],\n","       [0.31556906, 0.30241475, 0.30174782, ..., 0.3165124 , 0.31140671,\n","        0.30508884],\n","       [0.29121961, 0.29473269, 0.29642409, ..., 0.30022676, 0.34117481,\n","        0.28985474]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.8</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3006 0.3229 ... 0.3373 0.3403</div><input id='attrs-aab806a2-7b0e-461c-98a7-60bbee20941f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aab806a2-7b0e-461c-98a7-60bbee20941f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0969f414-821f-4fae-867f-b775b3a4fdd5' class='xr-var-data-in' type='checkbox'><label for='data-0969f414-821f-4fae-867f-b775b3a4fdd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30063277, 0.32286805, 0.32884685, ..., 0.3221098 , 0.31285705,\n","        0.30452882],\n","       [0.28423343, 0.31286333, 0.30917575, ..., 0.30325568, 0.2958327 ,\n","        0.29964171],\n","       [0.30747565, 0.30728458, 0.30258819, ..., 0.31633944, 0.31651279,\n","        0.31388568],\n","       [0.30520973, 0.28807392, 0.3177225 , ..., 0.33190283, 0.33734122,\n","        0.3402847 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.9</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3154 0.3245 ... 0.3057 0.2919</div><input id='attrs-bf6db62d-15b6-44d4-b800-fe41bdc81be2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf6db62d-15b6-44d4-b800-fe41bdc81be2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acf405c9-85c0-489b-9757-12042a95eaf1' class='xr-var-data-in' type='checkbox'><label for='data-acf405c9-85c0-489b-9757-12042a95eaf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.3154268 , 0.32453584, 0.30069835, ..., 0.31234243, 0.30245282,\n","        0.27209863],\n","       [0.27467081, 0.26819964, 0.29492608, ..., 0.3210682 , 0.29672767,\n","        0.30506861],\n","       [0.30459967, 0.30599956, 0.30671388, ..., 0.31441921, 0.30816198,\n","        0.31072305],\n","       [0.27680051, 0.26803451, 0.26169396, ..., 0.30494951, 0.30573339,\n","        0.29189008]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.10</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3093 0.3264 ... 0.3162 0.3283</div><input id='attrs-b90c7e3c-03c5-48f5-b0aa-b2e64ca5397f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b90c7e3c-03c5-48f5-b0aa-b2e64ca5397f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-680e6699-62c6-4ea9-9c38-252c49997204' class='xr-var-data-in' type='checkbox'><label for='data-680e6699-62c6-4ea9-9c38-252c49997204' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30927753, 0.32644097, 0.33934128, ..., 0.29762742, 0.30169026,\n","        0.29125928],\n","       [0.30321312, 0.29495018, 0.31606652, ..., 0.31491992, 0.31623749,\n","        0.30912461],\n","       [0.31210925, 0.31356506, 0.31324555, ..., 0.31603629, 0.31467253,\n","        0.30794895],\n","       [0.3094366 , 0.30654847, 0.29094719, ..., 0.32245336, 0.31617069,\n","        0.32825422]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.11</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3432 0.3076 ... 0.3075 0.318</div><input id='attrs-785f8548-1778-430e-8227-ec5d80c6ce69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-785f8548-1778-430e-8227-ec5d80c6ce69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3a03530-a2c8-4a97-aea8-d629f81feff4' class='xr-var-data-in' type='checkbox'><label for='data-d3a03530-a2c8-4a97-aea8-d629f81feff4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.34315823, 0.30763278, 0.30578045, ..., 0.31254121, 0.31755347,\n","        0.36602213],\n","       [0.30056328, 0.28672544, 0.29918227, ..., 0.3143284 , 0.30705252,\n","        0.32442653],\n","       [0.31958358, 0.29850231, 0.30720414, ..., 0.31197498, 0.31509822,\n","        0.30930344],\n","       [0.29436351, 0.31172687, 0.26891964, ..., 0.32978743, 0.30749058,\n","        0.31795364]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.12</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3607 0.3461 ... 0.2973 0.3025</div><input id='attrs-8787945f-2b89-4556-8a9f-c2a347c788e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8787945f-2b89-4556-8a9f-c2a347c788e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f729de7b-c195-4d6f-97df-ea29f1a15c0e' class='xr-var-data-in' type='checkbox'><label for='data-f729de7b-c195-4d6f-97df-ea29f1a15c0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.36069402, 0.34606391, 0.33552183, ..., 0.32792928, 0.34086317,\n","        0.36394887],\n","       [0.30682197, 0.29723002, 0.29620362, ..., 0.30457244, 0.31127538,\n","        0.32833413],\n","       [0.31072237, 0.309147  , 0.31673501, ..., 0.31051865, 0.31705823,\n","        0.31305913],\n","       [0.29695763, 0.30212607, 0.28483896, ..., 0.3157306 , 0.29729515,\n","        0.30249803]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.13</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3238 0.3088 ... 0.3285 0.3064</div><input id='attrs-f4101303-6d29-43dd-b265-1c4c3f285efd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4101303-6d29-43dd-b265-1c4c3f285efd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c935f482-46eb-4c5a-acce-7b34dca93961' class='xr-var-data-in' type='checkbox'><label for='data-c935f482-46eb-4c5a-acce-7b34dca93961' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32381471, 0.30877434, 0.3066825 , ..., 0.29899052, 0.33548551,\n","        0.32299779],\n","       [0.31341182, 0.31169433, 0.30393497, ..., 0.33063269, 0.32811555,\n","        0.29855251],\n","       [0.32318429, 0.29797601, 0.31261317, ..., 0.31725983, 0.30924226,\n","        0.30890636],\n","       [0.2847631 , 0.29129406, 0.31449047, ..., 0.32217494, 0.3284544 ,\n","        0.30639605]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.14</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2906 0.3039 ... 0.31 0.3144</div><input id='attrs-64293f73-8a6f-4016-b375-707488f886aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64293f73-8a6f-4016-b375-707488f886aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5871574d-8d0f-4aec-96b9-75a7539e80cc' class='xr-var-data-in' type='checkbox'><label for='data-5871574d-8d0f-4aec-96b9-75a7539e80cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.29056286, 0.30388625, 0.30582778, ..., 0.30978341, 0.2958975 ,\n","        0.2992934 ],\n","       [0.30254002, 0.31274429, 0.31309274, ..., 0.30678311, 0.29784247,\n","        0.30781919],\n","       [0.31898906, 0.3027978 , 0.29943073, ..., 0.31956914, 0.32427768,\n","        0.30506044],\n","       [0.28456904, 0.28651552, 0.27503616, ..., 0.30929871, 0.31000968,\n","        0.31435061]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.15</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3437 0.2904 ... 0.3132 0.3177</div><input id='attrs-34620061-9381-4a70-aeb6-b2283f189d1a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34620061-9381-4a70-aeb6-b2283f189d1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fb71d18-16a5-4023-9c5f-b60e89ac6cbf' class='xr-var-data-in' type='checkbox'><label for='data-3fb71d18-16a5-4023-9c5f-b60e89ac6cbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.34373464, 0.29037763, 0.30955997, ..., 0.29154982, 0.33948256,\n","        0.34001136],\n","       [0.28279065, 0.30736709, 0.30326266, ..., 0.30519592, 0.30838901,\n","        0.29855464],\n","       [0.31652931, 0.31055937, 0.30611819, ..., 0.30942421, 0.30987451,\n","        0.31637353],\n","       [0.29009906, 0.31145165, 0.2799246 , ..., 0.3179273 , 0.31317548,\n","        0.31772255]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.16</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3177 0.321 ... 0.3015 0.3312</div><input id='attrs-d464aa99-6917-4355-b26c-62b17ee6df04' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d464aa99-6917-4355-b26c-62b17ee6df04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50698bfb-9275-4d10-b385-a158ab0fdf77' class='xr-var-data-in' type='checkbox'><label for='data-50698bfb-9275-4d10-b385-a158ab0fdf77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.31765939, 0.32101796, 0.31983529, ..., 0.29427233, 0.28840476,\n","        0.33145654],\n","       [0.31335623, 0.28792969, 0.31638337, ..., 0.32145469, 0.29694078,\n","        0.29685118],\n","       [0.31659339, 0.30066036, 0.31549989, ..., 0.31106494, 0.31197032,\n","        0.31370857],\n","       [0.29092867, 0.27801275, 0.30470107, ..., 0.29958501, 0.30154768,\n","        0.33120715]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.17</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3178 0.2997 ... 0.312 0.3027</div><input id='attrs-77cfd7c8-fdf6-4dca-815b-51a5d5a07182' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77cfd7c8-fdf6-4dca-815b-51a5d5a07182' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8daf739-eea5-4e8e-b7f1-1fcc8a253e8d' class='xr-var-data-in' type='checkbox'><label for='data-c8daf739-eea5-4e8e-b7f1-1fcc8a253e8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.31776748, 0.29972563, 0.32277396, ..., 0.33058635, 0.31385935,\n","        0.317428  ],\n","       [0.34065879, 0.30087646, 0.31259855, ..., 0.3079148 , 0.29606319,\n","        0.31235778],\n","       [0.30915366, 0.3040929 , 0.30500644, ..., 0.317208  , 0.31093926,\n","        0.31358841],\n","       [0.31678979, 0.31781989, 0.29509731, ..., 0.32970783, 0.31201127,\n","        0.30272413]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.18</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.32 0.3057 0.2978 ... 0.334 0.2906</div><input id='attrs-501a4474-fe57-438d-a406-bf93ec36e572' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-501a4474-fe57-438d-a406-bf93ec36e572' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d07a8a42-0338-4a2e-832e-6e972c358b49' class='xr-var-data-in' type='checkbox'><label for='data-d07a8a42-0338-4a2e-832e-6e972c358b49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32002316, 0.30565653, 0.29783599, ..., 0.34841006, 0.28760399,\n","        0.34112471],\n","       [0.31909143, 0.29439738, 0.28865619, ..., 0.30220504, 0.3041559 ,\n","        0.32316468],\n","       [0.31308519, 0.31285173, 0.30539897, ..., 0.31601525, 0.30960362,\n","        0.30984625],\n","       [0.30721602, 0.29630027, 0.30319312, ..., 0.3302766 , 0.33397456,\n","        0.29059154]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.19</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.287 0.3527 ... 0.3112 0.315</div><input id='attrs-704ed9a0-6907-4037-9c61-0984eebee7b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-704ed9a0-6907-4037-9c61-0984eebee7b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4d43aaa-8d88-45fb-a65a-e448e10e3ed2' class='xr-var-data-in' type='checkbox'><label for='data-c4d43aaa-8d88-45fb-a65a-e448e10e3ed2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.28695481, 0.35268405, 0.3041056 , ..., 0.29206215, 0.3610012 ,\n","        0.34688183],\n","       [0.30384533, 0.2956039 , 0.29218629, ..., 0.29629298, 0.31115502,\n","        0.31614654],\n","       [0.30567423, 0.30919161, 0.30977038, ..., 0.31495821, 0.31444245,\n","        0.31703388],\n","       [0.29086808, 0.32758143, 0.27381456, ..., 0.29861171, 0.31118213,\n","        0.31499032]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.20</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3235 0.315 ... 0.355 0.3312</div><input id='attrs-623f8f09-8e68-4831-883e-dc52bb7a7e09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-623f8f09-8e68-4831-883e-dc52bb7a7e09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1be6804-8ac5-4475-845b-f192e6a51023' class='xr-var-data-in' type='checkbox'><label for='data-a1be6804-8ac5-4475-845b-f192e6a51023' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32350878, 0.31502512, 0.32521928, ..., 0.32728642, 0.31679212,\n","        0.35976303],\n","       [0.28285543, 0.27821327, 0.33293706, ..., 0.31522141, 0.31497351,\n","        0.31883106],\n","       [0.30367638, 0.31008681, 0.30531267, ..., 0.30748335, 0.31019649,\n","        0.31180407],\n","       [0.3057334 , 0.30451136, 0.32247588, ..., 0.32915905, 0.35501411,\n","        0.33115092]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.21</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3023 0.3121 ... 0.3148 0.2903</div><input id='attrs-9bd70d9a-3ef6-4fab-ad6e-fc4d087ef03a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9bd70d9a-3ef6-4fab-ad6e-fc4d087ef03a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6993125e-eb24-44f0-82e7-d0d5559540e3' class='xr-var-data-in' type='checkbox'><label for='data-6993125e-eb24-44f0-82e7-d0d5559540e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30225569, 0.31211343, 0.31674624, ..., 0.30127053, 0.28590647,\n","        0.28010827],\n","       [0.27395977, 0.30325833, 0.29974233, ..., 0.31213772, 0.30494099,\n","        0.29868246],\n","       [0.29638272, 0.29771455, 0.31602181, ..., 0.31576016, 0.31423137,\n","        0.31554788],\n","       [0.25356957, 0.30518887, 0.29798028, ..., 0.30293003, 0.3147548 ,\n","        0.2902663 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.22</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2984 0.2871 ... 0.2952 0.3322</div><input id='attrs-1e1b631d-ed55-40c4-a955-cf2935c899f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e1b631d-ed55-40c4-a955-cf2935c899f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9f4d8e0-682d-4a04-9698-550c5ec852fe' class='xr-var-data-in' type='checkbox'><label for='data-f9f4d8e0-682d-4a04-9698-550c5ec852fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.2984068 , 0.28713761, 0.33945722, ..., 0.3005675 , 0.30967346,\n","        0.29024389],\n","       [0.2861889 , 0.31284649, 0.30522542, ..., 0.30400825, 0.31008437,\n","        0.3011124 ],\n","       [0.31152096, 0.30657818, 0.30426226, ..., 0.31427669, 0.30717618,\n","        0.31904165],\n","       [0.28995061, 0.3060045 , 0.29072949, ..., 0.29985031, 0.29524567,\n","        0.33215902]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.23</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3065 0.2877 ... 0.3267 0.333</div><input id='attrs-e1a9c2ee-760a-4b95-a1da-35ef095c4418' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1a9c2ee-760a-4b95-a1da-35ef095c4418' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ec11de0-dbcd-45f5-8c5a-e131fc22beae' class='xr-var-data-in' type='checkbox'><label for='data-0ec11de0-dbcd-45f5-8c5a-e131fc22beae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30654537, 0.28767588, 0.28447344, ..., 0.31787337, 0.31976712,\n","        0.30498984],\n","       [0.33226567, 0.32647383, 0.28647268, ..., 0.30215046, 0.30590472,\n","        0.306322  ],\n","       [0.31213041, 0.30398051, 0.31172675, ..., 0.31504127, 0.31193908,\n","        0.30964422],\n","       [0.28775691, 0.27807226, 0.30359206, ..., 0.31229609, 0.32670748,\n","        0.33299062]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.24</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3229 0.3087 ... 0.2915 0.3198</div><input id='attrs-4941b1fa-72e4-401d-9af9-63b7fce6a2d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4941b1fa-72e4-401d-9af9-63b7fce6a2d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc260838-86cc-4917-9f08-7b395ecb4cd2' class='xr-var-data-in' type='checkbox'><label for='data-dc260838-86cc-4917-9f08-7b395ecb4cd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32289345, 0.3087262 , 0.27387396, ..., 0.3164034 , 0.30169847,\n","        0.33049592],\n","       [0.31028894, 0.25878353, 0.30648732, ..., 0.30945681, 0.31526002,\n","        0.30997549],\n","       [0.32140713, 0.30800531, 0.30740862, ..., 0.31349922, 0.31302949,\n","        0.31319532],\n","       [0.32358467, 0.29052326, 0.26762259, ..., 0.33265462, 0.2914612 ,\n","        0.31979068]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.25</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3282 0.2959 ... 0.3002 0.3276</div><input id='attrs-d50d7e3f-d950-47a1-8ed8-d36b2570eccd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d50d7e3f-d950-47a1-8ed8-d36b2570eccd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-143df391-ac3b-4a56-8a59-ef11c2f5872c' class='xr-var-data-in' type='checkbox'><label for='data-143df391-ac3b-4a56-8a59-ef11c2f5872c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32824106, 0.29588058, 0.30143985, ..., 0.28630623, 0.35357082,\n","        0.28250038],\n","       [0.29313341, 0.28754134, 0.28731756, ..., 0.31649362, 0.31673837,\n","        0.3164004 ],\n","       [0.3081584 , 0.30393705, 0.31204801, ..., 0.31464968, 0.30783995,\n","        0.30497874],\n","       [0.27423427, 0.26761291, 0.26766778, ..., 0.31964369, 0.30020978,\n","        0.3276215 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.26</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3015 0.3158 ... 0.2937 0.3379</div><input id='attrs-bbd4bba3-e772-4b30-bd49-193bf08e9449' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbd4bba3-e772-4b30-bd49-193bf08e9449' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fab370ed-0931-45cf-8823-a9e4aa06b1ce' class='xr-var-data-in' type='checkbox'><label for='data-fab370ed-0931-45cf-8823-a9e4aa06b1ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30149885, 0.31581153, 0.33411017, ..., 0.34423755, 0.31813457,\n","        0.33212669],\n","       [0.30461425, 0.30526752, 0.30347794, ..., 0.32261961, 0.30747704,\n","        0.31833573],\n","       [0.30841725, 0.31300248, 0.30876545, ..., 0.31733543, 0.31193491,\n","        0.31279969],\n","       [0.30487472, 0.30646854, 0.28549206, ..., 0.35074265, 0.29367914,\n","        0.33786014]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.27</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2825 0.2813 ... 0.3149 0.3348</div><input id='attrs-5f0871de-2c3c-4f2a-a5dc-452978d6d910' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f0871de-2c3c-4f2a-a5dc-452978d6d910' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb768e1d-4912-42a8-a97d-0130c7498154' class='xr-var-data-in' type='checkbox'><label for='data-fb768e1d-4912-42a8-a97d-0130c7498154' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.28248364, 0.28131925, 0.28573085, ..., 0.28954723, 0.29955058,\n","        0.28097503],\n","       [0.30276215, 0.28566386, 0.30558772, ..., 0.31272166, 0.29700202,\n","        0.31217121],\n","       [0.28997583, 0.30462657, 0.30926609, ..., 0.31151162, 0.31487885,\n","        0.30639299],\n","       [0.27250641, 0.26055974, 0.30412093, ..., 0.30028445, 0.31493605,\n","        0.33478877]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.28</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3281 0.3269 ... 0.3242 0.3427</div><input id='attrs-92cf935a-66a9-4e52-bf8d-f21e00f5c4d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-92cf935a-66a9-4e52-bf8d-f21e00f5c4d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b30894e-eb68-490b-b375-627b0b5e36da' class='xr-var-data-in' type='checkbox'><label for='data-7b30894e-eb68-490b-b375-627b0b5e36da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32813993, 0.32687272, 0.30113876, ..., 0.29063895, 0.31378979,\n","        0.30564074],\n","       [0.30595593, 0.28518768, 0.28478063, ..., 0.31563695, 0.3024588 ,\n","        0.30891486],\n","       [0.3107616 , 0.31000979, 0.30228125, ..., 0.3120778 , 0.30967543,\n","        0.31964774],\n","       [0.27949045, 0.31435796, 0.26753709, ..., 0.32321491, 0.32416857,\n","        0.34265206]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.29</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3005 0.3005 0.31 ... 0.319 0.2971</div><input id='attrs-9bf3fb66-0ddc-459a-a52e-3775a709ed5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9bf3fb66-0ddc-459a-a52e-3775a709ed5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-253ff6e1-9a96-4be8-b216-75c925a0a643' class='xr-var-data-in' type='checkbox'><label for='data-253ff6e1-9a96-4be8-b216-75c925a0a643' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30051875, 0.30047934, 0.31002357, ..., 0.3190161 , 0.31522162,\n","        0.31277541],\n","       [0.26687308, 0.26133722, 0.26101373, ..., 0.31611892, 0.29988163,\n","        0.30501205],\n","       [0.31164324, 0.31146112, 0.31147207, ..., 0.30837354, 0.31231774,\n","        0.31484757],\n","       [0.3058023 , 0.28819826, 0.28756795, ..., 0.29305373, 0.31902216,\n","        0.29713018]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.30</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.322 0.345 ... 0.3465 0.3303</div><input id='attrs-da26f46c-990d-496e-817b-eca11e0b00bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da26f46c-990d-496e-817b-eca11e0b00bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0331d981-691d-4d37-94fa-ff8d97e88ed8' class='xr-var-data-in' type='checkbox'><label for='data-0331d981-691d-4d37-94fa-ff8d97e88ed8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32203404, 0.34495331, 0.33125501, ..., 0.33466772, 0.28584263,\n","        0.34241781],\n","       [0.30244194, 0.31668946, 0.30393376, ..., 0.31425026, 0.30925786,\n","        0.31521302],\n","       [0.31687513, 0.30605726, 0.31228891, ..., 0.3076074 , 0.31229173,\n","        0.30736933],\n","       [0.27614079, 0.29068282, 0.29660675, ..., 0.32054816, 0.34646104,\n","        0.33034724]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.31</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2939 0.3425 ... 0.2986 0.3083</div><input id='attrs-39e58e21-53fe-4cfb-a56f-70321608b861' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39e58e21-53fe-4cfb-a56f-70321608b861' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f773cf35-4dad-4537-8e53-912729b0fc1c' class='xr-var-data-in' type='checkbox'><label for='data-f773cf35-4dad-4537-8e53-912729b0fc1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.29386803, 0.34250291, 0.28468471, ..., 0.31558742, 0.31479784,\n","        0.33368866],\n","       [0.2825153 , 0.28366623, 0.31609187, ..., 0.30054309, 0.3056358 ,\n","        0.31117283],\n","       [0.30464528, 0.30443002, 0.30893877, ..., 0.32299763, 0.32275254,\n","        0.30228884],\n","       [0.29681445, 0.29496602, 0.2908236 , ..., 0.3116383 , 0.29860776,\n","        0.30826401]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.32</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2937 0.317 ... 0.3322 0.3446</div><input id='attrs-39b4a3f1-5493-41ec-93fd-35f2cfd20ca7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39b4a3f1-5493-41ec-93fd-35f2cfd20ca7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5a5822d-b235-498a-8f1a-92442d1a58e3' class='xr-var-data-in' type='checkbox'><label for='data-c5a5822d-b235-498a-8f1a-92442d1a58e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.29366553, 0.31696301, 0.31091758, ..., 0.2965462 , 0.2967723 ,\n","        0.31223345],\n","       [0.3181236 , 0.32594839, 0.32502079, ..., 0.33132876, 0.32842208,\n","        0.29048441],\n","       [0.3076505 , 0.30253055, 0.30236752, ..., 0.30738293, 0.32001553,\n","        0.3058945 ],\n","       [0.29968331, 0.29558719, 0.27414752, ..., 0.31445011, 0.33215775,\n","        0.34455676]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.33</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3195 0.3091 ... 0.3145 0.307</div><input id='attrs-ba3b1356-cc4d-42ec-ae95-a669aab8102a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba3b1356-cc4d-42ec-ae95-a669aab8102a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8740fa96-3432-486b-8f25-da96a37d26ce' class='xr-var-data-in' type='checkbox'><label for='data-8740fa96-3432-486b-8f25-da96a37d26ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.31952284, 0.30908241, 0.28572835, ..., 0.3030867 , 0.33711049,\n","        0.2697928 ],\n","       [0.28970111, 0.28270112, 0.31344354, ..., 0.29264369, 0.29713244,\n","        0.32225679],\n","       [0.31519115, 0.31454679, 0.30213964, ..., 0.31427883, 0.31134167,\n","        0.31442059],\n","       [0.28645143, 0.29640705, 0.29028714, ..., 0.30662897, 0.3144976 ,\n","        0.30701892]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.34</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.327 0.3385 ... 0.3141 0.3125</div><input id='attrs-f4a50cf0-25e4-4532-b157-cdb68227ea5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4a50cf0-25e4-4532-b157-cdb68227ea5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-678dbbcb-71c6-4e52-923f-ad3539e3c13a' class='xr-var-data-in' type='checkbox'><label for='data-678dbbcb-71c6-4e52-923f-ad3539e3c13a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32704022, 0.33845273, 0.31516201, ..., 0.31685698, 0.32029338,\n","        0.30245463],\n","       [0.3168893 , 0.31505363, 0.29734529, ..., 0.31405411, 0.30472033,\n","        0.30767588],\n","       [0.29555613, 0.29527869, 0.31154784, ..., 0.31871384, 0.31915958,\n","        0.31841171],\n","       [0.30706866, 0.28294554, 0.28301362, ..., 0.31554785, 0.31414268,\n","        0.31247378]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.35</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2893 0.3482 ... 0.3185 0.3178</div><input id='attrs-96cef375-f4ef-453e-bec0-662769d367ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96cef375-f4ef-453e-bec0-662769d367ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8990329c-d524-4c73-8ee0-e0f248b9ce13' class='xr-var-data-in' type='checkbox'><label for='data-8990329c-d524-4c73-8ee0-e0f248b9ce13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.28931581, 0.34816179, 0.27784905, ..., 0.32227487, 0.31033303,\n","        0.31600227],\n","       [0.30995938, 0.30750493, 0.31658595, ..., 0.31347661, 0.31386322,\n","        0.30002482],\n","       [0.30507305, 0.31149141, 0.29839584, ..., 0.31599628, 0.31625033,\n","        0.31626301],\n","       [0.28342643, 0.28009525, 0.32523804, ..., 0.29266171, 0.31849856,\n","        0.31777137]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.36</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2868 0.2918 ... 0.3283 0.3177</div><input id='attrs-60ada8be-d7e2-4e1d-9211-291870515eef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-60ada8be-d7e2-4e1d-9211-291870515eef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9599ea0-4939-41d7-a551-89a26c7ed0fe' class='xr-var-data-in' type='checkbox'><label for='data-e9599ea0-4939-41d7-a551-89a26c7ed0fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.28681296, 0.29179069, 0.30720644, ..., 0.27972609, 0.31737973,\n","        0.29644773],\n","       [0.26901449, 0.28360254, 0.29204857, ..., 0.29526639, 0.30689782,\n","        0.30387273],\n","       [0.30202324, 0.31482774, 0.3061041 , ..., 0.31770514, 0.31312077,\n","        0.31029896],\n","       [0.31395507, 0.2912912 , 0.26380185, ..., 0.29549516, 0.32834264,\n","        0.31770241]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.37</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3276 0.3253 ... 0.3208 0.3394</div><input id='attrs-e908b5d3-71d6-4405-9654-682b0ffcfa0d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e908b5d3-71d6-4405-9654-682b0ffcfa0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2ae43cf-4488-44f8-9c0b-b834e059d4e2' class='xr-var-data-in' type='checkbox'><label for='data-a2ae43cf-4488-44f8-9c0b-b834e059d4e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32757505, 0.3252543 , 0.31936948, ..., 0.35463259, 0.32652946,\n","        0.30325832],\n","       [0.3092269 , 0.31417899, 0.28605833, ..., 0.31141677, 0.31858461,\n","        0.32468813],\n","       [0.3176575 , 0.31042356, 0.30271072, ..., 0.31607873, 0.31470356,\n","        0.30998119],\n","       [0.28656895, 0.34968525, 0.25198117, ..., 0.32053215, 0.32083363,\n","        0.33944606]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.38</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3041 0.3134 ... 0.3091 0.3269</div><input id='attrs-5d2628a9-9b27-4d31-8dc9-d3790dd989d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d2628a9-9b27-4d31-8dc9-d3790dd989d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37d02b95-9e92-4796-acbe-cff78e751b5a' class='xr-var-data-in' type='checkbox'><label for='data-37d02b95-9e92-4796-acbe-cff78e751b5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.30414478, 0.31337464, 0.29638301, ..., 0.30982955, 0.32891154,\n","        0.28083096],\n","       [0.28894828, 0.29301849, 0.29229769, ..., 0.29707648, 0.30438487,\n","        0.31589232],\n","       [0.30532028, 0.30981028, 0.30452287, ..., 0.31698412, 0.31851071,\n","        0.31837522],\n","       [0.28108716, 0.27575974, 0.28474405, ..., 0.30442991, 0.30912182,\n","        0.32689774]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.39</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3351 0.3332 ... 0.315 0.2743</div><input id='attrs-adac7177-a271-4cec-b336-3bf06811da7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-adac7177-a271-4cec-b336-3bf06811da7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7dfa40c-8e0f-43c7-9828-7800a0e5675a' class='xr-var-data-in' type='checkbox'><label for='data-b7dfa40c-8e0f-43c7-9828-7800a0e5675a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.33505439, 0.33316854, 0.33683703, ..., 0.28711003, 0.27656632,\n","        0.30744775],\n","       [0.27703316, 0.30994165, 0.2873178 , ..., 0.29693889, 0.29462286,\n","        0.29319643],\n","       [0.30560091, 0.29807832, 0.29797301, ..., 0.31003873, 0.31593661,\n","        0.31229766],\n","       [0.28962272, 0.30594676, 0.29945551, ..., 0.32032154, 0.31502458,\n","        0.27434687]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.493 0.493 ... 0.4987 0.4951</div><input id='attrs-37edd5d6-c9cf-432e-9bc1-b4236bf2a608' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37edd5d6-c9cf-432e-9bc1-b4236bf2a608' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88784da2-33dd-4f60-ad75-b9e84a732f5b' class='xr-var-data-in' type='checkbox'><label for='data-88784da2-33dd-4f60-ad75-b9e84a732f5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49302755, 0.49301562, 0.49388514, ..., 0.49333868, 0.49304989,\n","        0.49354406],\n","       [0.4952977 , 0.49481039, 0.49485497, ..., 0.5149625 , 0.51215996,\n","        0.51033385],\n","       [0.49095579, 0.48953073, 0.4954045 , ..., 0.49132853, 0.4927365 ,\n","        0.49448143],\n","       [0.48682807, 0.48787153, 0.48834529, ..., 0.5006041 , 0.4986634 ,\n","        0.49512616]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02641 0.02469 ... 0.02789 0.02507</div><input id='attrs-110eb904-bc50-458e-83b4-90e34e95829c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-110eb904-bc50-458e-83b4-90e34e95829c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13f7a0dd-6ffa-4b8b-a5c1-fb38802726b6' class='xr-var-data-in' type='checkbox'><label for='data-13f7a0dd-6ffa-4b8b-a5c1-fb38802726b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.02641316, 0.02469264, 0.02349837, ..., 0.02206453, 0.0299935 ,\n","        0.02994458],\n","       [0.01705071, 0.01565228, 0.01474168, ..., 0.05043474, 0.05873759,\n","        0.05837899],\n","       [0.05596038, 0.04765539, 0.08297711, ..., 0.04097219, 0.04598699,\n","        0.04384792],\n","       [0.00839467, 0.01167415, 0.01002449, ..., 0.02753586, 0.02788743,\n","        0.02507329]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4887 0.4898 ... 0.4976 0.4931</div><input id='attrs-4c2b0c42-05cb-4034-8182-7dcf611946ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c2b0c42-05cb-4034-8182-7dcf611946ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-051f185e-38ac-4d7e-9779-07846cb8f807' class='xr-var-data-in' type='checkbox'><label for='data-051f185e-38ac-4d7e-9779-07846cb8f807' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48873782, 0.48981917, 0.4910673 , ..., 0.49169925, 0.50386571,\n","        0.48139368],\n","       [0.49930805, 0.50007342, 0.49352691, ..., 0.50961119, 0.51587234,\n","        0.49337146],\n","       [0.5077728 , 0.4809614 , 0.49755643, ..., 0.5108568 , 0.48669551,\n","        0.48550045],\n","       [0.4826545 , 0.48618379, 0.48755148, ..., 0.49378779, 0.49760135,\n","        0.4930803 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4956 0.4899 ... 0.5038 0.4875</div><input id='attrs-657f6222-ece5-4d2d-80c6-499463bc4cb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-657f6222-ece5-4d2d-80c6-499463bc4cb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c2c2493-351c-48bc-a32d-2c453247fa61' class='xr-var-data-in' type='checkbox'><label for='data-6c2c2493-351c-48bc-a32d-2c453247fa61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49564095, 0.48989374, 0.50289658, ..., 0.48707615, 0.49500896,\n","        0.49758246],\n","       [0.49502193, 0.49467624, 0.49513344, ..., 0.52851612, 0.54111839,\n","        0.54006008],\n","       [0.5068464 , 0.48413922, 0.47750706, ..., 0.49578449, 0.51652119,\n","        0.50244467],\n","       [0.48648305, 0.49003001, 0.48844811, ..., 0.49603766, 0.50377922,\n","        0.48747488]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5042 0.4952 ... 0.4993 0.4927</div><input id='attrs-e61f8015-8c31-4163-bd94-67936a10fb7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e61f8015-8c31-4163-bd94-67936a10fb7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94c5834f-af29-448c-bf9d-2c6a82d4c582' class='xr-var-data-in' type='checkbox'><label for='data-94c5834f-af29-448c-bf9d-2c6a82d4c582' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50423073, 0.4952234 , 0.50229679, ..., 0.49287289, 0.48643604,\n","        0.4965921 ],\n","       [0.49595579, 0.49449301, 0.49580633, ..., 0.5084123 , 0.5136111 ,\n","        0.50879451],\n","       [0.49876116, 0.47494972, 0.51795274, ..., 0.50887991, 0.51700091,\n","        0.51205849],\n","       [0.48620339, 0.48619732, 0.4863136 , ..., 0.49888362, 0.49926598,\n","        0.49266297]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4951 0.4872 ... 0.4943 0.4951</div><input id='attrs-26e27f3e-8761-4695-b161-703f1a29aa98' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26e27f3e-8761-4695-b161-703f1a29aa98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92140517-4fc7-4389-b7b3-8c69f10bfdfd' class='xr-var-data-in' type='checkbox'><label for='data-92140517-4fc7-4389-b7b3-8c69f10bfdfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49509068, 0.48715944, 0.49491909, ..., 0.49753653, 0.4965559 ,\n","        0.4890732 ],\n","       [0.49558629, 0.49575768, 0.49319265, ..., 0.53446515, 0.53123561,\n","        0.53137636],\n","       [0.47170769, 0.47267057, 0.47956501, ..., 0.49094521, 0.50087089,\n","        0.48266721],\n","       [0.48636332, 0.48797719, 0.48678433, ..., 0.49066092, 0.49434148,\n","        0.4950798 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4857 0.4836 ... 0.5113 0.5034</div><input id='attrs-55e494bc-681f-48d0-bba4-08be95a4444e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55e494bc-681f-48d0-bba4-08be95a4444e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17327def-88ab-4e95-a411-8607790211a1' class='xr-var-data-in' type='checkbox'><label for='data-17327def-88ab-4e95-a411-8607790211a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48569043, 0.48357799, 0.4892659 , ..., 0.48746032, 0.49667278,\n","        0.50390897],\n","       [0.48456896, 0.48749943, 0.48907065, ..., 0.53407445, 0.4977644 ,\n","        0.51240584],\n","       [0.48721253, 0.48673369, 0.49712737, ..., 0.50975061, 0.49102892,\n","        0.5020421 ],\n","       [0.49265051, 0.48333477, 0.4838415 , ..., 0.50762205, 0.51126375,\n","        0.50338425]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.5</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5051 0.4869 ... 0.4877 0.4908</div><input id='attrs-8edbbba3-de87-4741-9f37-6a2b529bb1f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8edbbba3-de87-4741-9f37-6a2b529bb1f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dff4b111-0242-4744-8fb1-0cb200688f7a' class='xr-var-data-in' type='checkbox'><label for='data-dff4b111-0242-4744-8fb1-0cb200688f7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50509831, 0.4869469 , 0.50250599, ..., 0.48173298, 0.50646993,\n","        0.48407555],\n","       [0.48806406, 0.50165888, 0.50023008, ..., 0.50379263, 0.50298099,\n","        0.51268711],\n","       [0.47690144, 0.47076198, 0.51567265, ..., 0.49201266, 0.49088583,\n","        0.50637144],\n","       [0.48781499, 0.48588455, 0.49178656, ..., 0.51424038, 0.48766087,\n","        0.49076045]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.6</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4968 0.5028 ... 0.5007 0.5015</div><input id='attrs-0fb88ad5-b532-483b-88ce-1eb788f3faba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fb88ad5-b532-483b-88ce-1eb788f3faba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53199f3a-e0bd-443c-8a4a-1b1f4515d027' class='xr-var-data-in' type='checkbox'><label for='data-53199f3a-e0bd-443c-8a4a-1b1f4515d027' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49679687, 0.50276153, 0.48511561, ..., 0.4901882 , 0.50290625,\n","        0.49673488],\n","       [0.49254733, 0.49321309, 0.49501213, ..., 0.5073154 , 0.48700038,\n","        0.52247094],\n","       [0.49009025, 0.48283634, 0.49173042, ..., 0.49228516, 0.47389395,\n","        0.5059301 ],\n","       [0.48494513, 0.49158023, 0.48905519, ..., 0.49578886, 0.50069218,\n","        0.50153272]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.7</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4966 0.4947 ... 0.4895 0.4906</div><input id='attrs-5c7c480a-c1f4-4bd6-bc0b-3ff6b4eafbb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c7c480a-c1f4-4bd6-bc0b-3ff6b4eafbb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e83b0780-4310-45d0-aae5-671c853b3c22' class='xr-var-data-in' type='checkbox'><label for='data-e83b0780-4310-45d0-aae5-671c853b3c22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49660549, 0.4947357 , 0.49614692, ..., 0.48527752, 0.50076303,\n","        0.49985602],\n","       [0.50301214, 0.4978224 , 0.50239912, ..., 0.49812656, 0.5161667 ,\n","        0.49905833],\n","       [0.48631038, 0.49722963, 0.50731808, ..., 0.48753305, 0.48811272,\n","        0.49217509],\n","       [0.48843629, 0.49137536, 0.48821537, ..., 0.49033381, 0.48947102,\n","        0.49058668]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.8</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4769 0.4988 ... 0.497 0.4976</div><input id='attrs-c6eea7a5-1516-4521-86c9-2781f33aeae6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6eea7a5-1516-4521-86c9-2781f33aeae6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45c397d0-6863-4d84-b30b-5ccc07f8163c' class='xr-var-data-in' type='checkbox'><label for='data-45c397d0-6863-4d84-b30b-5ccc07f8163c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.47688935, 0.49883396, 0.49271407, ..., 0.49325867, 0.48916695,\n","        0.50743831],\n","       [0.49607143, 0.48827148, 0.49045832, ..., 0.4975594 , 0.52325172,\n","        0.53373153],\n","       [0.48624441, 0.484419  , 0.51133011, ..., 0.48541595, 0.48856769,\n","        0.4917928 ],\n","       [0.48190619, 0.49158706, 0.48541416, ..., 0.50093622, 0.49700391,\n","        0.49757628]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.9</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4921 0.4934 ... 0.491 0.5022</div><input id='attrs-d5f078ef-4222-4dd3-a9c6-3ac9981c9fb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5f078ef-4222-4dd3-a9c6-3ac9981c9fb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-606aef06-008f-413a-9cf9-cf477b0569d1' class='xr-var-data-in' type='checkbox'><label for='data-606aef06-008f-413a-9cf9-cf477b0569d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49209997, 0.49339963, 0.49813691, ..., 0.49117723, 0.48663544,\n","        0.50589838],\n","       [0.49478688, 0.49965895, 0.49673262, ..., 0.53519769, 0.51004129,\n","        0.54812434],\n","       [0.49206115, 0.49059667, 0.51379261, ..., 0.50190121, 0.50888679,\n","        0.51048096],\n","       [0.48877792, 0.48749719, 0.49214844, ..., 0.49362528, 0.49102166,\n","        0.50220147]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.10</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.495 0.4886 ... 0.4997 0.496</div><input id='attrs-3fb953ba-842f-49a5-a968-38e8d444442a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3fb953ba-842f-49a5-a968-38e8d444442a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-295589b4-abcb-4934-9291-290451344771' class='xr-var-data-in' type='checkbox'><label for='data-295589b4-abcb-4934-9291-290451344771' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49495294, 0.48860038, 0.50269539, ..., 0.50182412, 0.50510737,\n","        0.50158306],\n","       [0.49390331, 0.49211427, 0.49539969, ..., 0.52231547, 0.50389838,\n","        0.53049226],\n","       [0.49160267, 0.49075085, 0.52251011, ..., 0.49349626, 0.49132897,\n","        0.49950436],\n","       [0.48496873, 0.48417589, 0.48992586, ..., 0.49280979, 0.49970518,\n","        0.49595093]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.11</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5033 0.4897 ... 0.4933 0.4989</div><input id='attrs-40b289e1-8f43-4f23-bb17-00020014ff06' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40b289e1-8f43-4f23-bb17-00020014ff06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1bf0fba-966d-4fea-94a9-ba2b03815fc4' class='xr-var-data-in' type='checkbox'><label for='data-a1bf0fba-966d-4fea-94a9-ba2b03815fc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50332366, 0.48974458, 0.49525639, ..., 0.49781476, 0.48990484,\n","        0.49984273],\n","       [0.49357126, 0.49444117, 0.49045506, ..., 0.52805034, 0.49694286,\n","        0.49360415],\n","       [0.48656525, 0.48573284, 0.52522904, ..., 0.48920257, 0.48253228,\n","        0.47619879],\n","       [0.4889371 , 0.49399523, 0.49261729, ..., 0.48366484, 0.49333218,\n","        0.49885795]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.12</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4912 0.4963 ... 0.499 0.4922</div><input id='attrs-52279be6-b3b7-4045-9fe2-fe9718e4f810' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-52279be6-b3b7-4045-9fe2-fe9718e4f810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d96a3a34-e800-48a1-ba05-ddfbbed24da2' class='xr-var-data-in' type='checkbox'><label for='data-d96a3a34-e800-48a1-ba05-ddfbbed24da2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49122356, 0.49632297, 0.49453584, ..., 0.49437152, 0.48920745,\n","        0.49642961],\n","       [0.49399459, 0.49102278, 0.48879629, ..., 0.49170896, 0.513602  ,\n","        0.51332774],\n","       [0.47139393, 0.50572562, 0.52604666, ..., 0.48287941, 0.51199871,\n","        0.48478986],\n","       [0.48888692, 0.49058914, 0.49157517, ..., 0.49417614, 0.49897328,\n","        0.49224955]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.13</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4825 0.4954 ... 0.4861 0.4931</div><input id='attrs-746d0415-a404-4084-8e07-5128b06e446c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-746d0415-a404-4084-8e07-5128b06e446c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98cf7916-18f9-4ff3-b431-f079619506a4' class='xr-var-data-in' type='checkbox'><label for='data-98cf7916-18f9-4ff3-b431-f079619506a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48247852, 0.49537376, 0.4928107 , ..., 0.47978664, 0.50031141,\n","        0.49871138],\n","       [0.50068122, 0.4900462 , 0.495395  , ..., 0.51459685, 0.50247223,\n","        0.50878034],\n","       [0.49651095, 0.50838563, 0.50089934, ..., 0.49231058, 0.49794728,\n","        0.49441538],\n","       [0.48329057, 0.48814235, 0.48540767, ..., 0.51249329, 0.48610846,\n","        0.49308038]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.14</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4898 0.4911 ... 0.4983 0.4923</div><input id='attrs-e22fe575-2a62-4f88-9139-e6fb7e0278ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e22fe575-2a62-4f88-9139-e6fb7e0278ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-543595f2-60b7-40a2-aa98-ce95eff3ea4c' class='xr-var-data-in' type='checkbox'><label for='data-543595f2-60b7-40a2-aa98-ce95eff3ea4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48975748, 0.49109855, 0.49266692, ..., 0.48612803, 0.50355122,\n","        0.50342427],\n","       [0.49646785, 0.49449797, 0.49733809, ..., 0.48924868, 0.54181673,\n","        0.51564751],\n","       [0.48852648, 0.49308075, 0.48646929, ..., 0.4979148 , 0.50013791,\n","        0.50029255],\n","       [0.48934773, 0.48669586, 0.49026965, ..., 0.49881915, 0.49826928,\n","        0.49227698]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.15</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4976 0.4828 ... 0.5089 0.4817</div><input id='attrs-c6a6c903-9210-4347-b19e-b4f66170c926' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6a6c903-9210-4347-b19e-b4f66170c926' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5cf2b6a-b2e1-4fdf-aec9-cf9c7fe18e4c' class='xr-var-data-in' type='checkbox'><label for='data-f5cf2b6a-b2e1-4fdf-aec9-cf9c7fe18e4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49762653, 0.48277265, 0.49928269, ..., 0.50905988, 0.47645091,\n","        0.48255468],\n","       [0.49366813, 0.49303903, 0.49674368, ..., 0.4857917 , 0.52093707,\n","        0.47459723],\n","       [0.47926901, 0.47348988, 0.47706147, ..., 0.47875885, 0.47993943,\n","        0.49961477],\n","       [0.48471614, 0.48761609, 0.4880092 , ..., 0.50951737, 0.50894544,\n","        0.48171313]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.16</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4853 0.4924 ... 0.5042 0.5036</div><input id='attrs-414a1979-5d5e-4f7f-98f7-cc76fe6272fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-414a1979-5d5e-4f7f-98f7-cc76fe6272fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81bba995-e12d-42a8-8301-d1b73ba3c9e8' class='xr-var-data-in' type='checkbox'><label for='data-81bba995-e12d-42a8-8301-d1b73ba3c9e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48526919, 0.49236779, 0.49140003, ..., 0.49910533, 0.48755608,\n","        0.48967651],\n","       [0.49810848, 0.48603652, 0.49995267, ..., 0.5381909 , 0.50500551,\n","        0.51573324],\n","       [0.50165652, 0.51998467, 0.48743795, ..., 0.48976951, 0.4905076 ,\n","        0.49348899],\n","       [0.48566915, 0.48671554, 0.49260488, ..., 0.50397951, 0.50419877,\n","        0.50356402]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.17</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.484 0.5031 ... 0.4951 0.4973</div><input id='attrs-0fc339ee-8363-4d37-ba6b-b918c9019b1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fc339ee-8363-4d37-ba6b-b918c9019b1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b756079-2bf3-414d-85f5-ecb96b0b395c' class='xr-var-data-in' type='checkbox'><label for='data-1b756079-2bf3-414d-85f5-ecb96b0b395c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48396823, 0.50311814, 0.50372924, ..., 0.49462664, 0.48368564,\n","        0.51006732],\n","       [0.49508597, 0.4967034 , 0.49420303, ..., 0.51818338, 0.49341964,\n","        0.49228084],\n","       [0.51317668, 0.49123775, 0.47492416, ..., 0.49742908, 0.50344092,\n","        0.49666777],\n","       [0.48646344, 0.48502362, 0.48573877, ..., 0.48544654, 0.49514667,\n","        0.49731887]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.18</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4961 0.4883 ... 0.4915 0.4982</div><input id='attrs-e655ea11-c8ec-4b16-b8c2-d97d985f8305' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e655ea11-c8ec-4b16-b8c2-d97d985f8305' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07331d2e-6de3-40ef-bfb8-46689a23c2e9' class='xr-var-data-in' type='checkbox'><label for='data-07331d2e-6de3-40ef-bfb8-46689a23c2e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49614822, 0.4882697 , 0.49881709, ..., 0.49573457, 0.48903745,\n","        0.50471637],\n","       [0.49993782, 0.49277955, 0.49845593, ..., 0.51638038, 0.50270139,\n","        0.51751901],\n","       [0.48375387, 0.47531104, 0.53896682, ..., 0.50451036, 0.49896414,\n","        0.49407024],\n","       [0.49262578, 0.49197544, 0.48929445, ..., 0.4989292 , 0.49145165,\n","        0.49819305]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.19</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4995 0.4935 ... 0.4996 0.4961</div><input id='attrs-464a1bed-3f32-4b33-a2cf-f88c7c61c0c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-464a1bed-3f32-4b33-a2cf-f88c7c61c0c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87b49bec-7266-4c15-900f-89ccce1cb206' class='xr-var-data-in' type='checkbox'><label for='data-87b49bec-7266-4c15-900f-89ccce1cb206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49954401, 0.49354747, 0.49210869, ..., 0.49744157, 0.4943981 ,\n","        0.49540152],\n","       [0.4941412 , 0.49224408, 0.48912573, ..., 0.5282217 , 0.48745431,\n","        0.49283313],\n","       [0.5105741 , 0.50436545, 0.48914814, ..., 0.478457  , 0.50217923,\n","        0.51133585],\n","       [0.48545236, 0.49128474, 0.49142174, ..., 0.49433812, 0.49963589,\n","        0.49605068]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.20</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5038 0.4991 ... 0.4914 0.4951</div><input id='attrs-3729beb0-4965-4bf5-996b-a600de4266a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3729beb0-4965-4bf5-996b-a600de4266a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a49ca170-3369-46a9-8737-f922a544d27d' class='xr-var-data-in' type='checkbox'><label for='data-a49ca170-3369-46a9-8737-f922a544d27d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50378595, 0.49907029, 0.51049311, ..., 0.50022153, 0.49649744,\n","        0.507066  ],\n","       [0.49172725, 0.49103345, 0.49024373, ..., 0.49599159, 0.53113628,\n","        0.47852007],\n","       [0.49021596, 0.48108922, 0.47472904, ..., 0.51066837, 0.4938819 ,\n","        0.49631959],\n","       [0.489237  , 0.48489237, 0.48861885, ..., 0.50896797, 0.49136045,\n","        0.49514345]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.21</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4945 0.4961 ... 0.4948 0.4969</div><input id='attrs-9c5420b1-e421-480c-bc2e-36a62e44a857' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c5420b1-e421-480c-bc2e-36a62e44a857' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af3c6eb5-dddb-4425-9ebd-541caa4f229e' class='xr-var-data-in' type='checkbox'><label for='data-af3c6eb5-dddb-4425-9ebd-541caa4f229e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.4945057 , 0.49613406, 0.49257692, ..., 0.4965625 , 0.49513721,\n","        0.48873738],\n","       [0.49783218, 0.49704729, 0.4946579 , ..., 0.52192363, 0.51408518,\n","        0.49402469],\n","       [0.49942785, 0.49974281, 0.51273849, ..., 0.49609396, 0.49272547,\n","        0.48994028],\n","       [0.4887855 , 0.48727809, 0.48879919, ..., 0.50126638, 0.4947903 ,\n","        0.49689816]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.22</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4906 0.4943 ... 0.4949 0.4973</div><input id='attrs-47cf22bd-131c-4984-aa28-58e18ad2a611' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47cf22bd-131c-4984-aa28-58e18ad2a611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e71b1403-a505-4784-a0f6-f0e9ffc9cf0e' class='xr-var-data-in' type='checkbox'><label for='data-e71b1403-a505-4784-a0f6-f0e9ffc9cf0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49059476, 0.49433217, 0.49336047, ..., 0.5009743 , 0.48437976,\n","        0.50461283],\n","       [0.49482428, 0.4928862 , 0.49465955, ..., 0.50417198, 0.51225812,\n","        0.5092335 ],\n","       [0.49069768, 0.47731124, 0.48040188, ..., 0.49474483, 0.49774348,\n","        0.51235002],\n","       [0.4882556 , 0.48484915, 0.49276957, ..., 0.50949839, 0.49486402,\n","        0.4973176 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.23</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4955 0.4894 ... 0.5036 0.4976</div><input id='attrs-a3fc5754-8255-4b62-aaf2-6971216aa27b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3fc5754-8255-4b62-aaf2-6971216aa27b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41742d23-4aef-408a-bbf1-f5709680c44c' class='xr-var-data-in' type='checkbox'><label for='data-41742d23-4aef-408a-bbf1-f5709680c44c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49547014, 0.48936098, 0.49068616, ..., 0.49494948, 0.49822955,\n","        0.49264377],\n","       [0.49498699, 0.49246304, 0.4974486 , ..., 0.5225819 , 0.51522241,\n","        0.52562689],\n","       [0.48764116, 0.46423494, 0.51532129, ..., 0.47519847, 0.50535805,\n","        0.48593591],\n","       [0.48906427, 0.48849906, 0.48717658, ..., 0.49804107, 0.50360534,\n","        0.49763273]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.24</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4908 0.4983 ... 0.5076 0.4918</div><input id='attrs-ef05a1dd-2e29-462e-b197-e33a2a098863' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef05a1dd-2e29-462e-b197-e33a2a098863' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c528affc-da89-48e9-b295-fef62c543778' class='xr-var-data-in' type='checkbox'><label for='data-c528affc-da89-48e9-b295-fef62c543778' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49081314, 0.49827286, 0.49892132, ..., 0.48940657, 0.49106303,\n","        0.48571389],\n","       [0.49120547, 0.49619749, 0.4941117 , ..., 0.5039487 , 0.51900386,\n","        0.50423684],\n","       [0.48157954, 0.49981088, 0.47325951, ..., 0.50333547, 0.49490105,\n","        0.49005974],\n","       [0.48790082, 0.48548483, 0.49376598, ..., 0.49737474, 0.50755705,\n","        0.49177174]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.25</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4839 0.4873 ... 0.4961 0.49</div><input id='attrs-2eec26ef-7b35-48df-a442-4a6cb43eed91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2eec26ef-7b35-48df-a442-4a6cb43eed91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d940de2e-bc20-4b38-a83e-ef31c17131d0' class='xr-var-data-in' type='checkbox'><label for='data-d940de2e-bc20-4b38-a83e-ef31c17131d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48393096, 0.48731675, 0.50081216, ..., 0.50065065, 0.49218325,\n","        0.49281984],\n","       [0.49120219, 0.49148753, 0.48795893, ..., 0.49703036, 0.50130748,\n","        0.5253778 ],\n","       [0.48819206, 0.49962918, 0.48736503, ..., 0.49866776, 0.48347043,\n","        0.49441072],\n","       [0.48489797, 0.49067492, 0.49038497, ..., 0.50275003, 0.496078  ,\n","        0.48996918]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.26</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4868 0.4965 ... 0.4957 0.4847</div><input id='attrs-9570dafd-1c55-4cbb-9ae1-47951c930505' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9570dafd-1c55-4cbb-9ae1-47951c930505' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc257171-f9fc-41a3-bf51-cb995275a957' class='xr-var-data-in' type='checkbox'><label for='data-bc257171-f9fc-41a3-bf51-cb995275a957' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48679082, 0.49646445, 0.48997008, ..., 0.49441717, 0.49158861,\n","        0.48338707],\n","       [0.49650778, 0.49334431, 0.4925675 , ..., 0.47692694, 0.51836352,\n","        0.50644016],\n","       [0.47365647, 0.50536586, 0.48225963, ..., 0.48571045, 0.48422344,\n","        0.48920396],\n","       [0.48540174, 0.49189325, 0.4894371 , ..., 0.50510913, 0.49569775,\n","        0.48473312]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.27</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5007 0.4874 ... 0.4996 0.4977</div><input id='attrs-f6891cc5-2657-47c3-9baf-2bc574d2d4af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f6891cc5-2657-47c3-9baf-2bc574d2d4af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66ffa493-3ba0-4d10-bba4-5300b6ee9500' class='xr-var-data-in' type='checkbox'><label for='data-66ffa493-3ba0-4d10-bba4-5300b6ee9500' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50073056, 0.48735175, 0.50242581, ..., 0.49341315, 0.49537909,\n","        0.49057371],\n","       [0.49763157, 0.49198623, 0.49598769, ..., 0.51595093, 0.50867473,\n","        0.50312959],\n","       [0.52691068, 0.52338717, 0.53132796, ..., 0.496678  , 0.50457893,\n","        0.48964768],\n","       [0.4887963 , 0.48662485, 0.49100951, ..., 0.49499129, 0.49960977,\n","        0.49773995]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.28</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4948 0.4944 ... 0.4911 0.4924</div><input id='attrs-e5e5d8f9-6e1b-4571-9ddd-9fd80b3f15c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5e5d8f9-6e1b-4571-9ddd-9fd80b3f15c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-496dbeb6-34fd-428e-8bfc-1e3c0835ea0f' class='xr-var-data-in' type='checkbox'><label for='data-496dbeb6-34fd-428e-8bfc-1e3c0835ea0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49478015, 0.49444894, 0.49457694, ..., 0.48618368, 0.47976874,\n","        0.48551911],\n","       [0.49513348, 0.49600573, 0.49790385, ..., 0.50638798, 0.52945151,\n","        0.48683881],\n","       [0.49638083, 0.47600524, 0.50533102, ..., 0.49383906, 0.49711446,\n","        0.48017895],\n","       [0.48493192, 0.4901417 , 0.48937025, ..., 0.50113039, 0.491121  ,\n","        0.49236571]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.29</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4837 0.4934 ... 0.4923 0.4875</div><input id='attrs-374e8569-c86a-492d-aed4-530bd4766331' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-374e8569-c86a-492d-aed4-530bd4766331' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7440d116-a35b-41de-a2b3-0e7ef08b8994' class='xr-var-data-in' type='checkbox'><label for='data-7440d116-a35b-41de-a2b3-0e7ef08b8994' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48368263, 0.49338766, 0.49455188, ..., 0.48479158, 0.48047471,\n","        0.49903232],\n","       [0.49417881, 0.49188103, 0.49457183, ..., 0.50054854, 0.49523531,\n","        0.51039572],\n","       [0.48453295, 0.48525278, 0.48200599, ..., 0.49173487, 0.47040216,\n","        0.4857987 ],\n","       [0.49046537, 0.49122321, 0.4878765 , ..., 0.50383255, 0.49232263,\n","        0.48749597]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.30</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4811 0.4981 ... 0.4972 0.4959</div><input id='attrs-ddae0aa4-5411-4f28-b9a9-a84b054bffff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddae0aa4-5411-4f28-b9a9-a84b054bffff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d2d628f-7ed1-436e-84c2-5008dbcfd19a' class='xr-var-data-in' type='checkbox'><label for='data-3d2d628f-7ed1-436e-84c2-5008dbcfd19a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48114961, 0.49814033, 0.49608115, ..., 0.49878212, 0.48906202,\n","        0.49881211],\n","       [0.49342815, 0.49514722, 0.49210008, ..., 0.51084312, 0.50691172,\n","        0.51353109],\n","       [0.48705198, 0.49879271, 0.48966173, ..., 0.46733218, 0.46906681,\n","        0.48505183],\n","       [0.48954379, 0.48755138, 0.48691789, ..., 0.49389369, 0.49718239,\n","        0.49591965]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.31</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4925 0.5074 ... 0.4996 0.507</div><input id='attrs-ccb9f187-13c6-404c-869f-1a27b8c6f98f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ccb9f187-13c6-404c-869f-1a27b8c6f98f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92fe5dbf-efb8-4c64-a5ab-bd033a3d1098' class='xr-var-data-in' type='checkbox'><label for='data-92fe5dbf-efb8-4c64-a5ab-bd033a3d1098' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49252023, 0.50740294, 0.50380786, ..., 0.49372386, 0.50186664,\n","        0.48037788],\n","       [0.49285676, 0.49741191, 0.49662905, ..., 0.50698373, 0.52474055,\n","        0.47820289],\n","       [0.48393803, 0.50694919, 0.47191132, ..., 0.48561642, 0.48225826,\n","        0.48419935],\n","       [0.48829872, 0.48774666, 0.48655842, ..., 0.49931906, 0.49956481,\n","        0.5069771 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.32</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4935 0.4917 ... 0.4974 0.4931</div><input id='attrs-0a215ac1-50ae-4936-8b5a-9d377c1513fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0a215ac1-50ae-4936-8b5a-9d377c1513fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-623c6f5a-917e-4623-80fd-b9385923a728' class='xr-var-data-in' type='checkbox'><label for='data-623c6f5a-917e-4623-80fd-b9385923a728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49345258, 0.49174888, 0.49450201, ..., 0.49949106, 0.49797009,\n","        0.50001428],\n","       [0.48856076, 0.49817417, 0.49801478, ..., 0.53109804, 0.51768494,\n","        0.52186508],\n","       [0.51206721, 0.52276782, 0.51420916, ..., 0.49382957, 0.48688637,\n","        0.4993114 ],\n","       [0.48696764, 0.4845571 , 0.48469586, ..., 0.50273762, 0.49738257,\n","        0.49310683]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.33</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4951 0.493 ... 0.4894 0.4899</div><input id='attrs-e107c59c-0d94-47cc-81b2-8237e6255267' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e107c59c-0d94-47cc-81b2-8237e6255267' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c4249ba-d1fb-4437-8aaf-c86de75df90d' class='xr-var-data-in' type='checkbox'><label for='data-3c4249ba-d1fb-4437-8aaf-c86de75df90d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49511166, 0.49302268, 0.49037177, ..., 0.50626683, 0.48076484,\n","        0.50519926],\n","       [0.49308048, 0.49859431, 0.49900223, ..., 0.52348097, 0.50178464,\n","        0.49575118],\n","       [0.4957417 , 0.49548732, 0.50583632, ..., 0.49914414, 0.50189131,\n","        0.48856158],\n","       [0.48927601, 0.49261795, 0.48795437, ..., 0.49672186, 0.48944817,\n","        0.48987238]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.34</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4931 0.4973 ... 0.4877 0.4872</div><input id='attrs-b377bf5c-877b-442e-aa2d-59c3d4f41093' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b377bf5c-877b-442e-aa2d-59c3d4f41093' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c538f439-e1a7-43ba-9b99-5d409fcba444' class='xr-var-data-in' type='checkbox'><label for='data-c538f439-e1a7-43ba-9b99-5d409fcba444' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49314491, 0.49734499, 0.49042646, ..., 0.49670556, 0.48805521,\n","        0.47182737],\n","       [0.493543  , 0.49635105, 0.4936454 , ..., 0.51771513, 0.50773567,\n","        0.50716372],\n","       [0.48263886, 0.4979559 , 0.49305209, ..., 0.48318016, 0.49269588,\n","        0.49812659],\n","       [0.48675059, 0.48631283, 0.48736711, ..., 0.50652444, 0.48772408,\n","        0.48716864]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.35</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4895 0.4923 ... 0.4863 0.483</div><input id='attrs-e3d99c2d-1149-4b29-a6c7-0f2127bc6c11' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3d99c2d-1149-4b29-a6c7-0f2127bc6c11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8935b6d0-d907-46d7-a8a2-d434ce01bfe0' class='xr-var-data-in' type='checkbox'><label for='data-8935b6d0-d907-46d7-a8a2-d434ce01bfe0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48945421, 0.4923407 , 0.49007784, ..., 0.49869865, 0.48986593,\n","        0.490636  ],\n","       [0.49474944, 0.49628874, 0.49817767, ..., 0.52041378, 0.50192787,\n","        0.49222255],\n","       [0.46983487, 0.46162331, 0.52975374, ..., 0.50357802, 0.50793023,\n","        0.50877456],\n","       [0.48563136, 0.49091584, 0.48835821, ..., 0.49855311, 0.48634623,\n","        0.4829692 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.36</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4907 0.4859 ... 0.497 0.4879</div><input id='attrs-6923e0a4-8259-4f32-bbd9-52c36502d41a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6923e0a4-8259-4f32-bbd9-52c36502d41a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1b3488a-8097-4771-9b7f-54f9b5f15529' class='xr-var-data-in' type='checkbox'><label for='data-e1b3488a-8097-4771-9b7f-54f9b5f15529' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49068694, 0.48591208, 0.48694233, ..., 0.49140545, 0.49309775,\n","        0.49889816],\n","       [0.48958986, 0.49173141, 0.49766404, ..., 0.48788664, 0.48408938,\n","        0.48587719],\n","       [0.48593957, 0.48379085, 0.52728834, ..., 0.50420635, 0.50805546,\n","        0.49796521],\n","       [0.48605889, 0.48585654, 0.48888281, ..., 0.49736816, 0.49702641,\n","        0.4878583 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.37</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4944 0.4869 ... 0.4979 0.498</div><input id='attrs-f37ebb59-8e33-4d37-9e9d-69d26fea6fa9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f37ebb59-8e33-4d37-9e9d-69d26fea6fa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1cd5cdd-c77f-486c-9292-801faf23cec8' class='xr-var-data-in' type='checkbox'><label for='data-a1cd5cdd-c77f-486c-9292-801faf23cec8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49444973, 0.48694877, 0.50251095, ..., 0.4965464 , 0.49042898,\n","        0.48689315],\n","       [0.49921666, 0.4986655 , 0.49407099, ..., 0.52082054, 0.51294271,\n","        0.50248115],\n","       [0.46884887, 0.5150472 , 0.50341491, ..., 0.50044553, 0.48493953,\n","        0.49111353],\n","       [0.49015252, 0.4900319 , 0.49055495, ..., 0.5080322 , 0.49789976,\n","        0.49798367]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.38</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5023 0.4937 ... 0.5075 0.5024</div><input id='attrs-4dbdb24d-f5c8-4029-b42a-c14b193779cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4dbdb24d-f5c8-4029-b42a-c14b193779cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc263678-b472-4a7b-84d9-86548cd246bd' class='xr-var-data-in' type='checkbox'><label for='data-cc263678-b472-4a7b-84d9-86548cd246bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50227138, 0.49371822, 0.49633365, ..., 0.49978501, 0.49221818,\n","        0.50256936],\n","       [0.50138373, 0.48841544, 0.49722973, ..., 0.51619293, 0.53635026,\n","        0.53685537],\n","       [0.5143727 , 0.49080874, 0.52668447, ..., 0.48825657, 0.48448545,\n","        0.50344189],\n","       [0.48841668, 0.48406227, 0.48448927, ..., 0.4983515 , 0.50749925,\n","        0.50242733]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.39</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5095 0.5013 ... 0.4913 0.4998</div><input id='attrs-3b5daf4d-630e-4ff8-bb97-95dcd7125609' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b5daf4d-630e-4ff8-bb97-95dcd7125609' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff2e50fb-2001-4ca8-9974-f63a4257379d' class='xr-var-data-in' type='checkbox'><label for='data-ff2e50fb-2001-4ca8-9974-f63a4257379d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.50951462, 0.50129839, 0.48615201, ..., 0.50028489, 0.48548221,\n","        0.49019642],\n","       [0.4992957 , 0.49484919, 0.48888976, ..., 0.49861382, 0.52317618,\n","        0.52634757],\n","       [0.48759104, 0.47332103, 0.49984297, ..., 0.49254747, 0.49604981,\n","        0.48800485],\n","       [0.48743834, 0.48867287, 0.48541507, ..., 0.4855826 , 0.4913363 ,\n","        0.49983069]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8a1170e-bf8b-4443-962d-64b5780a196a' class='xr-section-summary-in' type='checkbox'  ><label for='section-a8a1170e-bf8b-4443-962d-64b5780a196a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed41502b-8f94-4c2d-b8d7-e5ce8e97389c' class='xr-index-data-in' type='checkbox'/><label for='index-ed41502b-8f94-4c2d-b8d7-e5ce8e97389c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int32&#x27;, name=&#x27;chain&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4a307f4b-9c0e-48f5-8d74-5b778f02bfc1' class='xr-index-data-in' type='checkbox'/><label for='index-4a307f4b-9c0e-48f5-8d74-5b778f02bfc1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n","       ...\n","       490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n","      dtype=&#x27;int32&#x27;, name=&#x27;draw&#x27;, length=500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-294d454b-3b61-4ff7-b09c-cf9d403bff86' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-294d454b-3b61-4ff7-b09c-cf9d403bff86' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n","                      </ul>\n","                  </div>\n","            </li>\n","            \n","            <li class = \"xr-section-item\">\n","                  <input id=\"idata_observed_data714cc669-14c7-4e14-abab-12810fdaf80e\" class=\"xr-section-summary-in\" type=\"checkbox\">\n","                  <label for=\"idata_observed_data714cc669-14c7-4e14-abab-12810fdaf80e\" class = \"xr-section-summary\">observed_data</label>\n","                  <div class=\"xr-section-inline-details\"></div>\n","                  <div class=\"xr-section-details\">\n","                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n","                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n","<defs>\n","<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n","<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 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0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n","<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n","</symbol>\n","</defs>\n","</svg>\n","<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n"," *\n"," */\n","\n",":root {\n","  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n","  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n","  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n","  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n","  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n","  --xr-background-color: var(--jp-layout-color0, white);\n","  --xr-background-color-row-even: var(--jp-layout-color1, white);\n","  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n","}\n","\n","html[theme=dark],\n","body[data-theme=dark],\n","body.vscode-dark {\n","  --xr-font-color0: rgba(255, 255, 255, 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var(--xr-font-color3);\n","}\n","\n",".xr-array-preview,\n",".xr-array-data {\n","  padding: 0 5px !important;\n","  grid-column: 2;\n","}\n","\n",".xr-array-data,\n",".xr-array-in:checked ~ .xr-array-preview {\n","  display: none;\n","}\n","\n",".xr-array-in:checked ~ .xr-array-data,\n",".xr-array-preview {\n","  display: inline-block;\n","}\n","\n",".xr-dim-list {\n","  display: inline-block !important;\n","  list-style: none;\n","  padding: 0 !important;\n","  margin: 0;\n","}\n","\n",".xr-dim-list li {\n","  display: inline-block;\n","  padding: 0;\n","  margin: 0;\n","}\n","\n",".xr-dim-list:before {\n","  content: '(';\n","}\n","\n",".xr-dim-list:after {\n","  content: ')';\n","}\n","\n",".xr-dim-list li:not(:last-child):after {\n","  content: ',';\n","  padding-right: 5px;\n","}\n","\n",".xr-has-index {\n","  font-weight: bold;\n","}\n","\n",".xr-var-list,\n",".xr-var-item {\n","  display: contents;\n","}\n","\n",".xr-var-item > div,\n",".xr-var-item label,\n",".xr-var-item > 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10px;\n","}\n","\n",".xr-var-name:hover,\n",".xr-var-dims:hover,\n",".xr-var-dtype:hover,\n",".xr-attrs dt:hover {\n","  overflow: visible;\n","  width: auto;\n","  z-index: 1;\n","}\n","\n",".xr-var-attrs,\n",".xr-var-data,\n",".xr-index-data {\n","  display: none;\n","  background-color: var(--xr-background-color) !important;\n","  padding-bottom: 5px !important;\n","}\n","\n",".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",".xr-var-data-in:checked ~ .xr-var-data,\n",".xr-index-data-in:checked ~ .xr-index-data {\n","  display: block;\n","}\n","\n",".xr-var-data > table {\n","  float: right;\n","}\n","\n",".xr-var-name span,\n",".xr-var-data,\n",".xr-index-name div,\n",".xr-index-data,\n",".xr-attrs {\n","  padding-left: 25px !important;\n","}\n","\n",".xr-attrs,\n",".xr-var-attrs,\n",".xr-var-data,\n",".xr-index-data {\n","  grid-column: 1 / -1;\n","}\n","\n","dl.xr-attrs {\n","  padding: 0;\n","  margin: 0;\n","  display: grid;\n","  grid-template-columns: 125px auto;\n","}\n","\n",".xr-attrs dt,\n",".xr-attrs dd {\n","  padding: 0;\n","  margin: 0;\n","  float: left;\n","  padding-right: 10px;\n","  width: auto;\n","}\n","\n",".xr-attrs dt {\n","  font-weight: normal;\n","  grid-column: 1;\n","}\n","\n",".xr-attrs dt:hover span {\n","  display: inline-block;\n","  background: var(--xr-background-color);\n","  padding-right: 10px;\n","}\n","\n",".xr-attrs dd {\n","  grid-column: 2;\n","  white-space: pre-wrap;\n","  word-break: break-all;\n","}\n","\n",".xr-icon-database,\n",".xr-icon-file-text2,\n",".xr-no-icon {\n","  display: inline-block;\n","  vertical-align: middle;\n","  width: 1em;\n","  height: 1.5em !important;\n","  stroke-width: 0;\n","  stroke: currentColor;\n","  fill: currentColor;\n","}\n","</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n","Dimensions:     (obs_id: 1200)\n","Coordinates:\n","  * obs_id      (obs_id) int64 0 1 2 3 4 5 6 ... 1194 1195 1196 1197 1198 1199\n","    subj_idx    (obs_id) int32 0 0 0 0 0 0 0 0 0 ... 39 39 39 39 39 39 39 39 39\n","    trial       (obs_id) int32 0 1 2 3 4 5 6 7 8 ... 21 22 23 24 25 26 27 28 29\n","Data variables:\n","    index       (obs_id) int64 0 1 2 3 4 5 6 ... 1194 1195 1196 1197 1198 1199\n","    response    (obs_id) int32 1 1 0 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 0 0 0 1 1 1 1\n","    rt          (obs_id) float32 1.929 1.709 -0.918 0.559 ... 0.653 0.69 0.461\n","    difficulty  (obs_id) object &#x27;easy&#x27; &#x27;easy&#x27; &#x27;easy&#x27; ... &#x27;hard&#x27; &#x27;hard&#x27; &#x27;hard&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-13ba7367-8708-47ea-bb5d-cc8f5bfc64cc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-13ba7367-8708-47ea-bb5d-cc8f5bfc64cc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>obs_id</span>: 1200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-95305c34-d845-487d-a36c-aba307ad1515' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95305c34-d845-487d-a36c-aba307ad1515' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_id</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1196 1197 1198 1199</div><input id='attrs-75647699-6373-41cd-acbc-bce1d990855b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75647699-6373-41cd-acbc-bce1d990855b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ef0b08c-dca1-4dfb-b6df-db14273bccde' class='xr-var-data-in' type='checkbox'><label for='data-0ef0b08c-dca1-4dfb-b6df-db14273bccde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1197, 1198, 1199], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>subj_idx</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 ... 39 39 39 39 39 39</div><input id='attrs-04624635-7149-4916-b736-0c05f957835f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04624635-7149-4916-b736-0c05f957835f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-738081ae-5c8a-444f-8f80-de7f96d7ffcf' class='xr-var-data-in' type='checkbox'><label for='data-738081ae-5c8a-444f-8f80-de7f96d7ffcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  0,  0, ..., 39, 39, 39])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trial</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-1462fe49-a1b1-4c38-8b0e-30db5df6b636' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1462fe49-a1b1-4c38-8b0e-30db5df6b636' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ae4fd06-753b-4e4c-bcaa-4668567d008f' class='xr-var-data-in' type='checkbox'><label for='data-2ae4fd06-753b-4e4c-bcaa-4668567d008f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2, ..., 27, 28, 29])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8d5e775-f6b3-4c65-a97e-128e3cb45bbe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f8d5e775-f6b3-4c65-a97e-128e3cb45bbe' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>index</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1196 1197 1198 1199</div><input id='attrs-e4a91c07-a1c9-4dcc-a6bb-99cc8a88e189' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4a91c07-a1c9-4dcc-a6bb-99cc8a88e189' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6142b0e-2763-4e66-8d6f-6beb2213f584' class='xr-var-data-in' type='checkbox'><label for='data-e6142b0e-2763-4e66-8d6f-6beb2213f584' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1197, 1198, 1199], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>response</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 1 0 1 1 1 1 1 ... 1 0 0 0 1 1 1 1</div><input id='attrs-38f2fc13-e6e2-4553-b7e6-eab315acab1a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38f2fc13-e6e2-4553-b7e6-eab315acab1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cdadd84-235b-4c7f-8560-46cff3ee1717' class='xr-var-data-in' type='checkbox'><label for='data-5cdadd84-235b-4c7f-8560-46cff3ee1717' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 1, 0, ..., 1, 1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rt</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.929 1.709 -0.918 ... 0.69 0.461</div><input id='attrs-4adef519-4cfc-4196-837e-fc5aeac63907' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4adef519-4cfc-4196-837e-fc5aeac63907' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baae7ae2-709a-424b-98ff-7a4ad037c8f5' class='xr-var-data-in' type='checkbox'><label for='data-baae7ae2-709a-424b-98ff-7a4ad037c8f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.929,  1.709, -0.918, ...,  0.653,  0.69 ,  0.461], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>difficulty</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;easy&#x27; &#x27;easy&#x27; ... &#x27;hard&#x27; &#x27;hard&#x27;</div><input id='attrs-de59092c-4ecc-4092-ae74-9deb30731df8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de59092c-4ecc-4092-ae74-9deb30731df8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6da43888-9f6d-4e92-ac71-a9415b95de22' class='xr-var-data-in' type='checkbox'><label for='data-6da43888-9f6d-4e92-ac71-a9415b95de22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;easy&#x27;, &#x27;easy&#x27;, &#x27;easy&#x27;, ..., &#x27;hard&#x27;, &#x27;hard&#x27;, &#x27;hard&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f284b5ab-acbe-464b-9e60-97cf7d50e149' class='xr-section-summary-in' type='checkbox'  ><label for='section-f284b5ab-acbe-464b-9e60-97cf7d50e149' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>obs_id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3764d446-30a4-4a3d-a61c-cd40c05b49b8' class='xr-index-data-in' type='checkbox'/><label for='index-3764d446-30a4-4a3d-a61c-cd40c05b49b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(RangeIndex(start=0, stop=1200, step=1, name=&#x27;obs_id&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-008013a9-f2cc-4773-b094-314a2a9ce2f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-008013a9-f2cc-4773-b094-314a2a9ce2f3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n","                      </ul>\n","                  </div>\n","            </li>\n","            \n","              </ul>\n","            </div>\n","            <style> /* CSS stylesheet for displaying InferenceData objects in jupyterlab.\n"," *\n"," */\n","\n",":root {\n","  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n","  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n","  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n","  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n","  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n","  --xr-background-color: var(--jp-layout-color0, white);\n","  --xr-background-color-row-even: var(--jp-layout-color1, white);\n","  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n","}\n","\n","html[theme=dark],\n","body.vscode-dark {\n","  --xr-font-color0: 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模型诊断"]},{"cell_type":"code","execution_count":28,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>mean</th>\n","      <th>sd</th>\n","      <th>hdi_3%</th>\n","      <th>hdi_97%</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>a</th>\n","      <td>1.958</td>\n","      <td>0.031</td>\n","      <td>1.890</td>\n","      <td>2.010</td>\n","    </tr>\n","    <tr>\n","      <th>a_std</th>\n","      <td>0.044</td>\n","      <td>0.028</td>\n","      <td>0.002</td>\n","      <td>0.093</td>\n","    </tr>\n","    <tr>\n","      <th>a_subj.0</th>\n","      <td>1.962</td>\n","      <td>0.056</td>\n","      <td>1.842</td>\n","      <td>2.067</td>\n","    </tr>\n","    <tr>\n","      <th>a_subj.1</th>\n","      <td>1.946</td>\n","      <td>0.057</td>\n","      <td>1.828</td>\n","      <td>2.040</td>\n","    </tr>\n","    <tr>\n","      <th>a_subj.2</th>\n","      <td>1.962</td>\n","      <td>0.054</td>\n","      <td>1.851</td>\n","      <td>2.062</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.36</th>\n","      <td>0.492</td>\n","      <td>0.015</td>\n","      <td>0.462</td>\n","      <td>0.518</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.37</th>\n","      <td>0.496</td>\n","      <td>0.013</td>\n","      <td>0.470</td>\n","      <td>0.523</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.38</th>\n","      <td>0.500</td>\n","      <td>0.014</td>\n","      <td>0.478</td>\n","      <td>0.531</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.39</th>\n","      <td>0.496</td>\n","      <td>0.013</td>\n","      <td>0.472</td>\n","      <td>0.524</td>\n","    </tr>\n","    <tr>\n","      <th>v(easy-hard)</th>\n","      <td>-0.578</td>\n","      <td>0.057</td>\n","      <td>-0.672</td>\n","      <td>-0.471</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>210 rows × 4 columns</p>\n","</div>"],"text/plain":["               mean     sd  hdi_3%  hdi_97%\n","a             1.958  0.031   1.890    2.010\n","a_std         0.044  0.028   0.002    0.093\n","a_subj.0      1.962  0.056   1.842    2.067\n","a_subj.1      1.946  0.057   1.828    2.040\n","a_subj.2      1.962  0.054   1.851    2.062\n","...             ...    ...     ...      ...\n","z_subj.36     0.492  0.015   0.462    0.518\n","z_subj.37     0.496  0.013   0.470    0.523\n","z_subj.38     0.500  0.014   0.478    0.531\n","z_subj.39     0.496  0.013   0.472    0.524\n","v(easy-hard) -0.578  0.057  -0.672   -0.471\n","\n","[210 rows x 4 columns]"]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["az.summary(infdata, kind=\"stats\")"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>mcse_mean</th>\n","      <th>mcse_sd</th>\n","      <th>ess_bulk</th>\n","      <th>ess_tail</th>\n","      <th>r_hat</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>a</th>\n","      <td>0.006</td>\n","      <td>0.004</td>\n","      <td>25.0</td>\n","      <td>90.0</td>\n","      <td>1.17</td>\n","    </tr>\n","    <tr>\n","      <th>a_std</th>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>9.0</td>\n","      <td>18.0</td>\n","      <td>1.40</td>\n","    </tr>\n","    <tr>\n","      <th>a_subj.0</th>\n","      <td>0.005</td>\n","      <td>0.003</td>\n","      <td>128.0</td>\n","      <td>263.0</td>\n","      <td>1.08</td>\n","    </tr>\n","    <tr>\n","      <th>a_subj.1</th>\n","      <td>0.007</td>\n","      <td>0.005</td>\n","      <td>54.0</td>\n","      <td>280.0</td>\n","      <td>1.07</td>\n","    </tr>\n","    <tr>\n","      <th>a_subj.2</th>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>118.0</td>\n","      <td>306.0</td>\n","      <td>1.10</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.35</th>\n","      <td>0.003</td>\n","      <td>0.002</td>\n","      <td>14.0</td>\n","      <td>42.0</td>\n","      <td>1.20</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.36</th>\n","      <td>0.003</td>\n","      <td>0.002</td>\n","      <td>17.0</td>\n","      <td>61.0</td>\n","      <td>1.16</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.37</th>\n","      <td>0.003</td>\n","      <td>0.002</td>\n","      <td>14.0</td>\n","      <td>35.0</td>\n","      <td>1.20</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.38</th>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>12.0</td>\n","      <td>27.0</td>\n","      <td>1.25</td>\n","    </tr>\n","    <tr>\n","      <th>z_subj.39</th>\n","      <td>0.003</td>\n","      <td>0.002</td>\n","      <td>17.0</td>\n","      <td>35.0</td>\n","      <td>1.17</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>209 rows × 5 columns</p>\n","</div>"],"text/plain":["           mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat\n","a              0.006    0.004      25.0      90.0   1.17\n","a_std          0.008    0.006       9.0      18.0   1.40\n","a_subj.0       0.005    0.003     128.0     263.0   1.08\n","a_subj.1       0.007    0.005      54.0     280.0   1.07\n","a_subj.2       0.004    0.003     118.0     306.0   1.10\n","...              ...      ...       ...       ...    ...\n","z_subj.35      0.003    0.002      14.0      42.0   1.20\n","z_subj.36      0.003    0.002      17.0      61.0   1.16\n","z_subj.37      0.003    0.002      14.0      35.0   1.20\n","z_subj.38      0.004    0.003      12.0      27.0   1.25\n","z_subj.39      0.003    0.002      17.0      35.0   1.17\n","\n","[209 rows x 5 columns]"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["az.summary(infdata, kind=\"diagnostics\")"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x1000 with 10 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["axes = az.plot_trace(infdata, var_names = ['~subj', '~std'], filter_vars= 'regex')\n","plt.subplots_adjust(hspace=0.5)"]},{"cell_type":"markdown","metadata":{},"source":["## 后验预测"]},{"cell_type":"code","execution_count":16,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Start generating posterior prediction...\n","The time of generation of ppc:  66.872 s\n","Start converting to InferenceData...\n"]}],"source":["infdata = m.to_infdata(ppc=True)"]},{"cell_type":"code","execution_count":20,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1472x552 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["tmp_infdata = infdata.copy()\n","\n","tmp_infdata = tmp_infdata.assign_coords(\n","  obs_id=tmp_infdata.observed_data['difficulty'].values, \n","  groups=\"observed_vars\")\n","\n","axes = az.plot_ppc(tmp_infdata, var_names= 'rt', coords={'obs_id': [\"easy\", \"hard\"]}, flatten=[])"]},{"cell_type":"markdown","metadata":{},"source":["## 统计推断"]},{"cell_type":"code","execution_count":24,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 600x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["axes = az.plot_violin(\n","    infdata, \n","    var_names=('v(easy)', 'v(hard)'), \n","    figsize=(6, 5),\n","    textsize=12\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 400x400 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["infdata.posterior[\"v(easy-hard)\"] = infdata.posterior[\"v(easy)\"] - infdata.posterior[\"v(hard)\"]\n","\n","ax = az.plot_posterior(\n","    infdata, var_names = 'v(easy-hard)', \n","    hdi_prob=0.95, rope = [-0.2,0.2], rope_color=\"r\",\n","    figsize = (4,4)\n",")"]},{"cell_type":"code","execution_count":5,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>mean</th>\n","      <th>sd</th>\n","      <th>hdi_3%</th>\n","      <th>hdi_97%</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>a</th>\n","      <td>1.958</td>\n","      <td>0.031</td>\n","      <td>1.890</td>\n","      <td>2.010</td>\n","    </tr>\n","    <tr>\n","      <th>v(easy)</th>\n","      <td>0.453</td>\n","      <td>0.047</td>\n","      <td>0.361</td>\n","      <td>0.535</td>\n","    </tr>\n","    <tr>\n","      <th>v(hard)</th>\n","      <td>1.031</td>\n","      <td>0.040</td>\n","      <td>0.961</td>\n","      <td>1.103</td>\n","    </tr>\n","    <tr>\n","      <th>t</th>\n","      <td>0.311</td>\n","      <td>0.009</td>\n","      <td>0.296</td>\n","      <td>0.329</td>\n","    </tr>\n","    <tr>\n","      <th>z</th>\n","      <td>0.496</td>\n","      <td>0.009</td>\n","      <td>0.480</td>\n","      <td>0.514</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["          mean     sd  hdi_3%  hdi_97%\n","a        1.958  0.031   1.890    2.010\n","v(easy)  0.453  0.047   0.361    0.535\n","v(hard)  1.031  0.040   0.961    1.103\n","t        0.311  0.009   0.296    0.329\n","z        0.496  0.009   0.480    0.514"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["az.summary(\n","    infdata, kind=\"stats\", \n","    var_names = ['~subj', '~std'], filter_vars= 'regex')"]}],"metadata":{"kernelspec":{"display_name":"Python 3.9.13 ('py39')","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"},"vscode":{"interpreter":{"hash":"8aac961bf242318979c56aef60b68d5e0a866f477e26122403782682e0d33d6e"}}},"nbformat":4,"nbformat_minor":2}
